Machine Learning Based Mammogram Classification for Breast Cancer Diagnosis Using Neural Networks
Keywords:
Machine Learning, Mammogram, Breast Cancer, Diagnosis, Neural Networks, Support Vector Machine
Abstract
Among females, breast cancer is high as a major killer. Breast cancer is easily diagnosed when anomalies are spotted in their earliest stages. Accurately diagnosing breast cancer and treating patients as soon as possible will be facilitated by effective diagnostic technologies. Experiments were performed to determine if breast cancers were benign or malignant using data from the Wisconsin Diagnosis Breast Cancer database. To do this, we employ the supervised learning algorithm Support Vector Machine (SVM) with kernels such as Linear and Neural Networks (NN). Comparing the models' results reveals that the Neural Network technique is more "accurate" and "precise" than the Support Vector Machine in the categorization of breast cancer and appears to be a quick and efficient method.
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107. Ghayvat, H., Awais, M., Bashir, Pandya S., K. et al. AI-enabled radiologist in the loop: novel AI-based framework to augment radiologist performance for COVID-19 chest CT medical image annotation and classification from pneumonia. Neural Comput & Applic (2022).
108. Ghayvat, H., Pandya, S., M. Awais, K. Dev, “STRENUOUS: Edge-Line Computing, AI and IIoT enabled GPS Spatiotemporal data-based Meta-transmission Healthcare Ecosystem for Virus Outbreaks Discovery”, IEEE Internet of Things Journal, doi: 10.1109/JIOT.2022.3147428.
109. Arikumar, K.S.; Prathiba, S.B.; Alazab, M.; Gadekallu, T.R.; Pandya, S.; Khan, J.M.; Moorthy, R.S. FL-PMI: Federated Learning-Based Person Movement Identification through Wearable Devices in Smart Healthcare Sensors 2022, 22, 1377.
110. Patil S, Pandya “Forecasting Dengue Hotspots Associated with Variation in Meteorological Parameters Using Regression and Time Series Models.” Frontiers in public health. 2021;9.
111. Pandya Sharnil, Sur, A, Solke, N, COVIDSAVIOUR: A Novel Sensor-Fusion and Deep Learning-Based Framework for Virus Outbreaks, Frontiers in Public Health, doi: 10.3389/fpubh.2021.797808
112. Pandya, and Ghayvat, H., Ambient acoustic event assistive framework for identification, detection, and recognition of unknown acoustic events of a residence. Advanced Engineering Informatics, 47, p.1012, 2021, Elsevier.
113. Ghayvat, H., Awais, M., Gope, P., Pandya, S. and Majumdar, S., 2021. ReCognizing SUspect and PredictiNg ThE SpRead of Contagion Based on Mobile Phone LoCation DaTa: A System of identifying COVID-19 infectious and hazardous sites, detecting disease outbreaks based on the internet of things, edge computing, and artificial intelligence, Sustainable Cities and Society, p.102798, Elsevier.
114. Pandya, Sharnil, Aanchal Thakur, Santosh Saxena, Nandita Jassal, Chirag Patel, Kirit Modi, Pooja Shah, Rahul Joshi, Sudhanshu Gonge, Kalyani Kadam, and Prachi Kadam. A Study of the Recent Trends of Immunology: Key Challenges, Domains, Applications, Datasets, and Future Directions, Sensors, 2021, 23: 7786. https://doi.org/10.3390/s21237786.
115. Abolfazl Mehbodniya, L. Arokia Jesu Prabhu, Julian L. Webber, Dilip Kumar Sharma, Pandya, Sharnil, Fetal Health Classification from Cardiotocographic Data Using Machine Learning, Expert Systems, Wiley,
116. Mishra, N. and Pandya, , Internet of Things Applications, Security Challenges, Attacks, Intrusion Detection, and Future Visions: A Systematic Review, IEEE Access, April 2021.
117. Nivedita Mishra, Pandya, Sharnil Chirag Patel et al. Memcached: An Experimental Study of DDoS Attacks for the Wellbeing of IoT applications”, Sensors 2022.
118. Shah A, Ahirrao S, Pandya S, Kotecha K and Rathod S, Smart Cardiac Framework for an Early Detection of Cardiac Arrest Condition and Risk, Frontiers in Public Health, doi: 10.3389/fpubh.2021.762303
119. Sushruta Mishra,Hrudaya Kumar Tripathy,Hiren Kumar Thakkar,Deepak Garg,Ketan Kotecha*,Sharnil Pandya, An Explainable Intelligence Driven Query Prioritization using Balanced Decision Tree Approach for Multi Level Psychological Disorders Assessment, Frontiers in Public Health, 2021 doi: 3389/fpubh.2021.797808
120. Ghayvat, ; Awais, M.; Pandya, S.; Ren, H.; Akbarzadeh, S.; Chandra Mukhopadhyay, S.; Chen, C.; Gope, P.; Chouhan, A.; Chen, W. Smart Aging System: Uncovering the Hidden Wellness Parameter for Well-Being Monitoring and Anomaly Detection. Sensors, 19, 766. [IF: 3.5]
121. Pandya, S, Sur, A. and Kotecha, K., "Smart epidemic tunnel: IoT-based sensor-fusion assistive technology for COVID-19 disinfection", International Journal of Pervasive Computing and Communications, Emerald Publishing.
122. Srivastava, A., Jain, S., Miranda, R., Patil, S., Pandya, S., Kotecha K. 2021. Deep learning-based respiratory sound analysis for detection of chronic obstructive pulmonary PeerJ Computer Science 7:e369. ]
123. Karn, A.L., Pandya, S., Mehbodniya, A. et al. An integrated approach for sustainable development of wastewater treatment and management system using IoT in smart Soft Computing, Springer, 2021. https://doi.org/10.1007/s00500-021-06244-9.
124. Pandya, S., Ghayvat, H., Sur, A., Awais, M., Kotecha, K., Saxena, S., Jassal, N., Pingale, G. Pollution Weather Prediction System: Smart Outdoor Pollution Monitoring and Prediction for Healthy Breathing and Sensors, 2020, 20, 5448.
125. Awais, , Ghayvat, H., Krishnan Pandarathodiyil, A., Nabillah Ghani, W.M., Ramanathan, A., Pandya, S., Walter, N., Saad, M.N., Zain, R.B., Faye, I. Healthcare Professional in the Loop (HPIL): Classification of Standard and Oral Cancer-Causing Anomalous Regions of Oral Cavity Using Textural Analysis Technique in Autofluorescence Imaging. Sensors, 2020, 20, 5780.
126. Patel, C.I., Labana, D., Pandya, S., Modi, K., Ghayvat, H. and Awais, M., 2020. Histogram of Oriented Gradient-Based Fusion of Features for Human Action Recognition in Action Video Sensors, 20(24), p.7299. [IF: 3.5]
127. Pandya, , Ghayvat, H.; Kotecha, K.; Awais, M.; Akbarzadeh, S.; Gope, P.; Mukhopadhyay, S.C.; Chen, W. Smart Home Anti-Theft System: A Novel Approach for Near Real-Time Monitoring and Smart Home Security for Wellness Protocol. Appl. Syst. Innov.
128. Barot, V., Kapadia, V., & Pandya, S., QoS Enabled IoT Based Low Cost Air Quality Monitoring System with Power Consumption Optimization, Cybernetics and Information Technologies, 2020, 20(2), 122-140, Bulgarian Academy of Science.
129. Pandya, S., Wakchaure MA, Shankar R, Annam JR. Analysis of NOMA-OFDM 5G wireless system using deep neural network. The Journal of Defense Modeling.
130. Mehta P, Pandya S., Kotecha K. 2021. Harvesting social media sentiment analysis to enhance stock market prediction using deep learning, PeerJ Computer Science 7:e369.
131. Sur S., Pandya, S., Ramesh P. Sah, Ketan Kotecha & Swapnil Narkhede, Influence of bed temperature on performance of silica gel/methanol adsorption refrigeration system at adsorption equilibrium, Particulate Science.
132. Sur, A., Sah, R., Pandya, S., Milk storage system for remote areas using solar thermal energy and adsorption cooling, Materials Today, Volume 28, Part 3,
133. R. Agarwal and N. Rao, “ML-based classifier for Sloan Digital Sky spectral objects,” Neuroquantology, vol. 20, no. 6, pp. 8329–8358, 2022, doi: 10.14704/nq.2022.20.6.NQ22824.
134. R. Agarwal, “Edge Detection in Images Using Modified Bit-Planes Sobel Operator,” 2014, pp. 203–210. doi: 10.1007/978-81-322-1771-8_18.
135. A. Rashi and R. Madamala, “Minimum relevant features to obtain ai explainable system for predicting breast cancer in WDBC,” Int J Health Sci (Qassim), Sep. 2022, doi: 10.53730/ijhs.v6nS9.12538.
136. R. A. A. Agarwal, “Decision Support System designed to detect yellow mosaic in Pigeon pea using Computer Vision,” Design Engineering (Toronto), vol. 8, pp. 832–844, 2021.
137. R. Agarwal, S. Hariharan, M. Nagabhushana Rao, and A. Agarwal, “Weed Identification using K-Means Clustering with Color Spaces Features in Multi-Spectral Images Taken by UAV,” in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Jul. 2021, pp. 7047–7050. doi: 10.1109/IGARSS47720.2021.9554097.
138. D.K. Srivastava and B. Roychoudhury, “Words are important: A textual content based identity resolution scheme across multiple online social networks,” Knowledge-Based Systems, vol. 195, 105624, 2020.
139. D.K. Srivastava and B. Roychoudhury, “Understanding the Factors that Influence Adoption of Privacy Protection Features in Online Social Networks,” Journal of Global Information Technology Management, vol.24, no.3, pp. 164-182, August 2021
140. Anupriya Kambe, Shaikh Abdul Hannan, Ramesh Manza and Mohammad Eid Alzahrani, “Prediction of Prediabetes, No Diabetes and Diabetes Mellitus -2 usnig Simple Decision Tree Classification” Springer, Rising Threats in Expert Applications and Solutions. 2021 at IIS University, 2021.
141. Swati Saxena, Shaikh Abdul Hannan, “A Quaitative Review on Intervention of Robotics in Medical Science”, International Journal of Computer Application(IJCA), Vol. 179, Number 46, 2021, ISSN 0975-8887, USA.
142. Anupriya Kamble, Sonali Gaikwad Shaikh Abdul Hannan, Mohammed Alwazzab Alzaharani, Ramesh Manza, “Prediction of the State of Diabetes Disorder using Simple Decision Tree Classification Technique”, Pensee Journal, ,Vol 51 issue 04, 2021.
143. Yogesh Rajput, Shaikh Abdul Hannan, Design New Wavelet Filter for Detection and Grading of Non-proliferative Diabetic Retinopathy Lesions, International Conference on Recent Trends in Image Processing and Pattern Recognition, Jan 2020, Springer, Singpore.
144. Anupriya Kamble, Shaikh Abdul Hannan, Ramesh Manza and Mohammad Eid Alzahrani, “Prediction of Prediabetes, No Diabetes and Diabetes Mellitus -2 usnig Simple Decision Tree Classification” Springer FICR International Conference on Rising Threats in Expert Applications and Solutions. 2020 at IIS University, 17-19 Jan, 2020 Jaipur.
145. D. K. Sharma, B. Singh, R. Regin, R. Steffi and M. K. Chakravarthi, "Efficient Classification for Neural Machines Interpretations based on Mathematical models," 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021, pp. 2015-2020.
146. F. Arslan, B. Singh, D. K. Sharma, R. Regin, R. Steffi and S. Suman Rajest, "Optimization Technique Approach to Resolve Food Sustainability Problems," 2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), 2021, pp. 25-30.
147. G. A. Ogunmola, B. Singh, D. K. Sharma, R. Regin, S. S. Rajest and N. Singh, "Involvement of Distance Measure in Assessing and Resolving Efficiency Environmental Obstacles," 2021 International Conference on Computational Intelligence and Knowledge Economy, 2021, pp. 13-18.
148. D. K. Sharma, B. Singh, M. Raja, R. Regin and S. S. Rajest, "An Efficient Python Approach for Simulation of Poisson Distribution," 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021, pp. 2011-2014.
149. D. K. Sharma, B. Singh, E. Herman, R. Regine, S. S. Rajest and V. P. Mishra, "Maximum Information Measure Policies in Reinforcement Learning with Deep Energy-Based Model," 2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), 2021, pp. 19-24.
150. Sagar Vakhare, Ramesh Manza, Abdul Hannan Shaikh and Anubha Jain, “Time Series Analysis and Forecasting of Temperatures Records in Aurangabad District of Maharashtra”, Springer FICR International Conference on Rising Threats in Expert Applications and Solutions. 2020 at IIS University, 17-19 Jan, 2020 Jaipur.
151. Anupriya Kamble, Shaikh Abdul Hannan, Yogesh Rajput and Ramesh Manza, “Prediction of Prediabetes, No Diabetes and Diabetes Mellitus-2 using Pattern Recognition”, Springer FICR International Conference on Rising Threats in Expert Applications and Solutions. 2020 at IIS University, 17-19 Jan, 2020 Jaipur.
152. Yogesh Rajput, Shaikh Abdul Hannan, Dnyaneshwari Patil, Ramesh Manza "Design New Wavelet Filter for Detection and Grading of Non-Proliferative Diabetic Retinopathy Lesions" The 3rd International Conference on recent Trends in Image Processing and pattern recognition, Springer conference, Jan 2020, Aurangabad, Maharashtra, India.
153. Y. M. Rajput, A. H. Hannan, M. E. Alzahrani, R. R. Manza, D. D. Patil, “EEG-Based Emotion Recognition Using Different Neural Network and Pattern Recognition Techniques–A Review”, International Journal of Computer Sciences and Engineering, Vol 6, Issue 9, Sep 2018.
154. Mohammad Eid Alzaharani and Shaikh Abdul Hannan, “Diagnosis and Medical Prescription of Heart Disease Using FFBP, SVM and RBF”,Page 6-15. , Issue,1, Vol 5, KKU Journal of Basic and Applied Sciences, Mar 2019.
155. Santosh Maher, Shaikh Abdul Hannan, Sumegh Tharewal, K. V. Kale " HRV based Human Heart Disease Prediction and Classification using Machine Learning " December 2019, (Vol. 17 No. 2 International Journal of Computer Science and Information SecApplicatiion (IJCA), New York, USA.
156. Akram Ablsubari, Shaikh Abdul Hannan, Mohammed Eid Alzaharani, Rakesh Ramteke, "Composite Feature Extraction and Classification for Fusion of Palmprint and Iris Biometric Traits", Engineering Technology and Applied Science Research, (ETASR) Volume 9, No 1, Feb 2019, Greece.
157. Santosh K. Maher, Sumegh Tharewal, Abdul Hannan, “Review on HRV based Prediction and Detection of Heart Disease”, International Journal of Computer Applications (0975 8887), Pag 7-12, Volume 179 – No.46, June 2018.
158. Y. M. Rajput, Shaikh Abdul Hannan, Mohammed Eid Alzahrani, R. R. Manza, Dnyaneshwari D. Patil, “EEG-Based Emotion Recognition Using Different Neural Network and Pattern Recognition Techniques – A Review” Vol 7, Issue 1, Jan 2019, E- ISSN: 2347-2693, India.
Yogesh Rajput, Shaikh Abdul Hannan, Mohammed Eid Alzaharani, D. Patil Ramesh Manza, Design and Development of New Algorithm for person identification Based on Iris statistical features and Retinal blood Vessels Bifurcation points” International Conference on Recent Trends in Image Processing & Pattern Recognition (RTIP2R), December 21-22, 2018, India.
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31. Ali-Mohammad Kamali , Milad Kazemiha, Behnam Keshtkarhesamabadi, Mohsan Daneshvari, Asadollah Zarifkar, Prasun Chakrabarti, Babak Kateb, Mohammad Nami “Simultaneous Transcranial and Transcutaneous Spinal Direct Current Stimulation to Enhance Athletic Performance Outcome in Experienced Boxers”, Scientific Reports , 11 : 19722, 2021.
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35. Papiya Debnath, Pankaj Chittora, Tulika Chakrabarti, Prasun Chakrabarti, Zbigniew Leonowicz, Michal Jasinski , Radomir Gono, Elżbieta Jasińska, “Analysis of earthquake prediction in India using supervised machine learning classifiers”, Sustainibility , 13(2) : 971 , 2021.
36. Pankaj Chittora, Sandeep Chaurasia, Prasun Chakrabarti, Gaurav Kumawat, Tulika Chakrabarti, Zbigniew Leonowiz, Michael Jaisinski, Lukasz Jaisinski, Radomir Gono, Elzbieta Jaisinski, Vadim Bolshev, “Prediction of Chronic Kidney Disease - A Machine Learning perspective", IEEE Access, 9 : 17312-17334,2021.
37. Imayanmosha Wahlang, Arnab Kumar Maji, Goutam Saha, Prasun Chakrabarti, Michał Jasiński , Zbigniew Leonowicz, Elzbieta Jasinska , “Deep Learning methods for classification of certain abnormalities in Echocardiography”, Electronics , 10 : 495., 2021.
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43. Akhilesh Kumar Sharma, Gaurav Aggarwal, Sachit Bhardwaj, Prasun Chakrabarti, Tulika Chakrabarti, Jemal Hussain, Siddhartha Bhattarcharyya, Richa Mishra, Anirban Das, Hairulnizam Mahdin, “Classification of Indian Classical Music with Time-Series Matching using Deep Learning”, IEEE Access , 9 : 102041-102052 , 2021.
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48. M Abul Hasan, K Raghuveer, P S Pandey, Ashok Kumar, Ashim Bora, Deepa Jose, P R Kshirsagar, Bui Thanh Hung, Prasun Chakrabarti , M M Khanapurkar , “Internet of Things and its applications in Industry 4.0 for Smart Waste Management”, Journal of Environmental Protection and Ecology , 22(6): 2368-2378,2021.
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75. Kavitha, M., Geetha, B.G. An efficient city energy management system with secure routing communication using WSN. Cluster Comput 22 (Suppl 6), 13131–13142, 2019.
76. Senthilraja, P., Geetha, B.G. Avoiding fuel theft in multifleet vehicles using vehicular adhoc network. Cluster Comput 22 (Suppl 5), 11175–11181,2019.
77. Chandraprabha, K., Geetha, B.G. Wireless network confidence level improvement via fusion adaptive resonance theory. Cluster Comput 22 (Suppl 5), 12251–12261 ,2019.
78. C. K. N, C. M. V, P. K. K. Burugupalli, A. K. S V, and A. J, “Raspberry Pi Based RFID Smart Card Refuelling System”, pices, vol. 2, no. 6, pp. 149-152, Oct. 2018.
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84. Geetha, B. G., Palanisamy, V., Duraiswamy, K., & Singaravel, G.,” A tool for testing of inheritance related bugs in object oriented software”, J. Comput. Sci, 4, 59-65,2008
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86. Geetha, B G &Singaravel, G, ‘Assessment and people risk management in software project’, International journal of computer science and applications, Vol.1, no. 2,2008
87. Geetha, B G, Palanisamy, V , Duraiswamy, K &Singaravel, G , ‘A Tool For Testing Of Inheritance Related Bugs In Object Oriented Software’, Journal of Computer science, Science Publishers, Vol. 4, no.1, pp. 59-65,2008.
88. Geetha, B G &Palanisamy, V, ‘Data flow testing of inheritance property in java software’, International journal of soft computing , Vol.3, no.1, pp. 44-49, 2008.
89. Nirmal Kumar, A, GEETHA, B G , ‘Improving the Software Quality by designing an effective test cases with an unit testing’, Published in IJAIR, vol. 10, no. 7s, pp. 607-610, ISSN: 1097-8135, 2013.
90. Nirmalkumar, A &Geetha, B G, ‘Achieving software engineering knowledge items with an unit testing approach’, International Journal of Soft Computing and Engineering, vol. 2, no. 1, pp. 474-479, 2012
91. Geetha, B G &Nithya, D, ‘Optimized Traveling Salesman problem Using Estimation Maximization Technique’, Published in IJAIR, Vol. 2, no. 2, ISSN: 2278-7844, 2013.
92. Gopinath, R &Geetha, B G, ‘An E-learning System Based on Secure Data Storage Services in Cloud Computing’, International Journal of Information Technology and Web Engineering (IJITWE), Vol. 8,no. 2, pp. 1-17, 2013.
93. Geetha, B G &Govindaraj,M ‘Retrieve the cloud data in efficient way using query services’, Journal of international academic research for multidisciplinary, ISSN: 2320-5083,2014.
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95. Gopinath, R &Geetha, B G, ‘Dynamic Block Level Error Recovery to Trust Multimedia Data for E-Learning Cloud Based Storage Services’, Journal of International Applied Sciences Engineering and Technology ISSN: 2040 – 7459, 2014.
96. Geetha, B G, Gokul, K, Nikhila&Buvaneswari, ‘Cloud Based Anti Vehicle Theft by Using Number PlateRecognition’, International Journal of engineering Research and General Science, Vol. 2, no. 2, 2014.
97. Kalaimani, G &Geetha, B G, ‘Object Movement Prediction Techique for Cluster Based Location Monitoring Technique in Mobile Computing Environment’, Asian Journal of Information Technology,vol.15,no.8,pp.1349-1358, 2016.
98. Vijayalakshmi, P &Geetha, B G, ‘A Misdirected Route Avoidance Using Topological Transform Adaptive Relational QoS Routing in Wireless Sensor Network’, Asian Journal of Information Technology,vol.15,no.17,pp.3398-3406, ISSN : 1682-3915 (Print), 1993-5994, 2016.
99. Kavitha, V &Dr Geetha, B G, ‘Review on High Utility Itemset Mining Algorithms’, Asian Journal of Research in Social Sciences and Humanities, Vol. 6, no. 5, pp. 123-133, 2016.
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101. Geetha B G, Sasikumar D,"Protection System For Humans and Animals From Electric Fence Using Iot and Cloud", International Journal of Innovative Research In Computer And Communication Engineering, Volume 8 No 3, 2020.
102. Geetha B G, Varshini R,"Preserve Cloud Data Using Multi-Keyword Ranked Search over Encrypted Technique", International Journal of Innovative Research In Computer and Communication Engineering, Volume 8 No 3, 2020.
103. Geetha B G , Navaneethan m Testing And Quality Validation For Ai Software– Perspectives, Issues, And Practices, International Journal for Science and Advance Research in Technology, Volume 7 Issue 4, 2021.
104. Ramana, S., Sabitha, S., Kumar, R. S., & Prakash, T. S. Atmospheric Change on the Geographical Theme Finding Of Different Functions on Human Mobility”. International Journal of Scientific Research in Computer Science and Engineering, 6(2), 134-151,2018.
105. Pandya S., R. Gadekallu, P. K. Reddy, W. Wang and M. Alazab, "InfusedHeart: A Novel Knowledge-Infused Learning Framework for Diagnosis of Cardiovascular Events," IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2022.3151643.
106. Ghayvat, H., Pandya, S., Bhattacharya, P., Zuhair, M. et al., CP-BDHCA: Blockchain- based Confidentiality-Privacy preserving Big Data scheme for healthcare clouds and applications, IEEE Journal of Biomedical and Health Informatics(J-BHI), doi: 1109/JBHI.2021.3097237.
107. Ghayvat, H., Awais, M., Bashir, Pandya S., K. et al. AI-enabled radiologist in the loop: novel AI-based framework to augment radiologist performance for COVID-19 chest CT medical image annotation and classification from pneumonia. Neural Comput & Applic (2022).
108. Ghayvat, H., Pandya, S., M. Awais, K. Dev, “STRENUOUS: Edge-Line Computing, AI and IIoT enabled GPS Spatiotemporal data-based Meta-transmission Healthcare Ecosystem for Virus Outbreaks Discovery”, IEEE Internet of Things Journal, doi: 10.1109/JIOT.2022.3147428.
109. Arikumar, K.S.; Prathiba, S.B.; Alazab, M.; Gadekallu, T.R.; Pandya, S.; Khan, J.M.; Moorthy, R.S. FL-PMI: Federated Learning-Based Person Movement Identification through Wearable Devices in Smart Healthcare Sensors 2022, 22, 1377.
110. Patil S, Pandya “Forecasting Dengue Hotspots Associated with Variation in Meteorological Parameters Using Regression and Time Series Models.” Frontiers in public health. 2021;9.
111. Pandya Sharnil, Sur, A, Solke, N, COVIDSAVIOUR: A Novel Sensor-Fusion and Deep Learning-Based Framework for Virus Outbreaks, Frontiers in Public Health, doi: 10.3389/fpubh.2021.797808
112. Pandya, and Ghayvat, H., Ambient acoustic event assistive framework for identification, detection, and recognition of unknown acoustic events of a residence. Advanced Engineering Informatics, 47, p.1012, 2021, Elsevier.
113. Ghayvat, H., Awais, M., Gope, P., Pandya, S. and Majumdar, S., 2021. ReCognizing SUspect and PredictiNg ThE SpRead of Contagion Based on Mobile Phone LoCation DaTa: A System of identifying COVID-19 infectious and hazardous sites, detecting disease outbreaks based on the internet of things, edge computing, and artificial intelligence, Sustainable Cities and Society, p.102798, Elsevier.
114. Pandya, Sharnil, Aanchal Thakur, Santosh Saxena, Nandita Jassal, Chirag Patel, Kirit Modi, Pooja Shah, Rahul Joshi, Sudhanshu Gonge, Kalyani Kadam, and Prachi Kadam. A Study of the Recent Trends of Immunology: Key Challenges, Domains, Applications, Datasets, and Future Directions, Sensors, 2021, 23: 7786. https://doi.org/10.3390/s21237786.
115. Abolfazl Mehbodniya, L. Arokia Jesu Prabhu, Julian L. Webber, Dilip Kumar Sharma, Pandya, Sharnil, Fetal Health Classification from Cardiotocographic Data Using Machine Learning, Expert Systems, Wiley,
116. Mishra, N. and Pandya, , Internet of Things Applications, Security Challenges, Attacks, Intrusion Detection, and Future Visions: A Systematic Review, IEEE Access, April 2021.
117. Nivedita Mishra, Pandya, Sharnil Chirag Patel et al. Memcached: An Experimental Study of DDoS Attacks for the Wellbeing of IoT applications”, Sensors 2022.
118. Shah A, Ahirrao S, Pandya S, Kotecha K and Rathod S, Smart Cardiac Framework for an Early Detection of Cardiac Arrest Condition and Risk, Frontiers in Public Health, doi: 10.3389/fpubh.2021.762303
119. Sushruta Mishra,Hrudaya Kumar Tripathy,Hiren Kumar Thakkar,Deepak Garg,Ketan Kotecha*,Sharnil Pandya, An Explainable Intelligence Driven Query Prioritization using Balanced Decision Tree Approach for Multi Level Psychological Disorders Assessment, Frontiers in Public Health, 2021 doi: 3389/fpubh.2021.797808
120. Ghayvat, ; Awais, M.; Pandya, S.; Ren, H.; Akbarzadeh, S.; Chandra Mukhopadhyay, S.; Chen, C.; Gope, P.; Chouhan, A.; Chen, W. Smart Aging System: Uncovering the Hidden Wellness Parameter for Well-Being Monitoring and Anomaly Detection. Sensors, 19, 766. [IF: 3.5]
121. Pandya, S, Sur, A. and Kotecha, K., "Smart epidemic tunnel: IoT-based sensor-fusion assistive technology for COVID-19 disinfection", International Journal of Pervasive Computing and Communications, Emerald Publishing.
122. Srivastava, A., Jain, S., Miranda, R., Patil, S., Pandya, S., Kotecha K. 2021. Deep learning-based respiratory sound analysis for detection of chronic obstructive pulmonary PeerJ Computer Science 7:e369. ]
123. Karn, A.L., Pandya, S., Mehbodniya, A. et al. An integrated approach for sustainable development of wastewater treatment and management system using IoT in smart Soft Computing, Springer, 2021. https://doi.org/10.1007/s00500-021-06244-9.
124. Pandya, S., Ghayvat, H., Sur, A., Awais, M., Kotecha, K., Saxena, S., Jassal, N., Pingale, G. Pollution Weather Prediction System: Smart Outdoor Pollution Monitoring and Prediction for Healthy Breathing and Sensors, 2020, 20, 5448.
125. Awais, , Ghayvat, H., Krishnan Pandarathodiyil, A., Nabillah Ghani, W.M., Ramanathan, A., Pandya, S., Walter, N., Saad, M.N., Zain, R.B., Faye, I. Healthcare Professional in the Loop (HPIL): Classification of Standard and Oral Cancer-Causing Anomalous Regions of Oral Cavity Using Textural Analysis Technique in Autofluorescence Imaging. Sensors, 2020, 20, 5780.
126. Patel, C.I., Labana, D., Pandya, S., Modi, K., Ghayvat, H. and Awais, M., 2020. Histogram of Oriented Gradient-Based Fusion of Features for Human Action Recognition in Action Video Sensors, 20(24), p.7299. [IF: 3.5]
127. Pandya, , Ghayvat, H.; Kotecha, K.; Awais, M.; Akbarzadeh, S.; Gope, P.; Mukhopadhyay, S.C.; Chen, W. Smart Home Anti-Theft System: A Novel Approach for Near Real-Time Monitoring and Smart Home Security for Wellness Protocol. Appl. Syst. Innov.
128. Barot, V., Kapadia, V., & Pandya, S., QoS Enabled IoT Based Low Cost Air Quality Monitoring System with Power Consumption Optimization, Cybernetics and Information Technologies, 2020, 20(2), 122-140, Bulgarian Academy of Science.
129. Pandya, S., Wakchaure MA, Shankar R, Annam JR. Analysis of NOMA-OFDM 5G wireless system using deep neural network. The Journal of Defense Modeling.
130. Mehta P, Pandya S., Kotecha K. 2021. Harvesting social media sentiment analysis to enhance stock market prediction using deep learning, PeerJ Computer Science 7:e369.
131. Sur S., Pandya, S., Ramesh P. Sah, Ketan Kotecha & Swapnil Narkhede, Influence of bed temperature on performance of silica gel/methanol adsorption refrigeration system at adsorption equilibrium, Particulate Science.
132. Sur, A., Sah, R., Pandya, S., Milk storage system for remote areas using solar thermal energy and adsorption cooling, Materials Today, Volume 28, Part 3,
133. R. Agarwal and N. Rao, “ML-based classifier for Sloan Digital Sky spectral objects,” Neuroquantology, vol. 20, no. 6, pp. 8329–8358, 2022, doi: 10.14704/nq.2022.20.6.NQ22824.
134. R. Agarwal, “Edge Detection in Images Using Modified Bit-Planes Sobel Operator,” 2014, pp. 203–210. doi: 10.1007/978-81-322-1771-8_18.
135. A. Rashi and R. Madamala, “Minimum relevant features to obtain ai explainable system for predicting breast cancer in WDBC,” Int J Health Sci (Qassim), Sep. 2022, doi: 10.53730/ijhs.v6nS9.12538.
136. R. A. A. Agarwal, “Decision Support System designed to detect yellow mosaic in Pigeon pea using Computer Vision,” Design Engineering (Toronto), vol. 8, pp. 832–844, 2021.
137. R. Agarwal, S. Hariharan, M. Nagabhushana Rao, and A. Agarwal, “Weed Identification using K-Means Clustering with Color Spaces Features in Multi-Spectral Images Taken by UAV,” in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Jul. 2021, pp. 7047–7050. doi: 10.1109/IGARSS47720.2021.9554097.
138. D.K. Srivastava and B. Roychoudhury, “Words are important: A textual content based identity resolution scheme across multiple online social networks,” Knowledge-Based Systems, vol. 195, 105624, 2020.
139. D.K. Srivastava and B. Roychoudhury, “Understanding the Factors that Influence Adoption of Privacy Protection Features in Online Social Networks,” Journal of Global Information Technology Management, vol.24, no.3, pp. 164-182, August 2021
140. Anupriya Kambe, Shaikh Abdul Hannan, Ramesh Manza and Mohammad Eid Alzahrani, “Prediction of Prediabetes, No Diabetes and Diabetes Mellitus -2 usnig Simple Decision Tree Classification” Springer, Rising Threats in Expert Applications and Solutions. 2021 at IIS University, 2021.
141. Swati Saxena, Shaikh Abdul Hannan, “A Quaitative Review on Intervention of Robotics in Medical Science”, International Journal of Computer Application(IJCA), Vol. 179, Number 46, 2021, ISSN 0975-8887, USA.
142. Anupriya Kamble, Sonali Gaikwad Shaikh Abdul Hannan, Mohammed Alwazzab Alzaharani, Ramesh Manza, “Prediction of the State of Diabetes Disorder using Simple Decision Tree Classification Technique”, Pensee Journal, ,Vol 51 issue 04, 2021.
143. Yogesh Rajput, Shaikh Abdul Hannan, Design New Wavelet Filter for Detection and Grading of Non-proliferative Diabetic Retinopathy Lesions, International Conference on Recent Trends in Image Processing and Pattern Recognition, Jan 2020, Springer, Singpore.
144. Anupriya Kamble, Shaikh Abdul Hannan, Ramesh Manza and Mohammad Eid Alzahrani, “Prediction of Prediabetes, No Diabetes and Diabetes Mellitus -2 usnig Simple Decision Tree Classification” Springer FICR International Conference on Rising Threats in Expert Applications and Solutions. 2020 at IIS University, 17-19 Jan, 2020 Jaipur.
145. D. K. Sharma, B. Singh, R. Regin, R. Steffi and M. K. Chakravarthi, "Efficient Classification for Neural Machines Interpretations based on Mathematical models," 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021, pp. 2015-2020.
146. F. Arslan, B. Singh, D. K. Sharma, R. Regin, R. Steffi and S. Suman Rajest, "Optimization Technique Approach to Resolve Food Sustainability Problems," 2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), 2021, pp. 25-30.
147. G. A. Ogunmola, B. Singh, D. K. Sharma, R. Regin, S. S. Rajest and N. Singh, "Involvement of Distance Measure in Assessing and Resolving Efficiency Environmental Obstacles," 2021 International Conference on Computational Intelligence and Knowledge Economy, 2021, pp. 13-18.
148. D. K. Sharma, B. Singh, M. Raja, R. Regin and S. S. Rajest, "An Efficient Python Approach for Simulation of Poisson Distribution," 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021, pp. 2011-2014.
149. D. K. Sharma, B. Singh, E. Herman, R. Regine, S. S. Rajest and V. P. Mishra, "Maximum Information Measure Policies in Reinforcement Learning with Deep Energy-Based Model," 2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), 2021, pp. 19-24.
150. Sagar Vakhare, Ramesh Manza, Abdul Hannan Shaikh and Anubha Jain, “Time Series Analysis and Forecasting of Temperatures Records in Aurangabad District of Maharashtra”, Springer FICR International Conference on Rising Threats in Expert Applications and Solutions. 2020 at IIS University, 17-19 Jan, 2020 Jaipur.
151. Anupriya Kamble, Shaikh Abdul Hannan, Yogesh Rajput and Ramesh Manza, “Prediction of Prediabetes, No Diabetes and Diabetes Mellitus-2 using Pattern Recognition”, Springer FICR International Conference on Rising Threats in Expert Applications and Solutions. 2020 at IIS University, 17-19 Jan, 2020 Jaipur.
152. Yogesh Rajput, Shaikh Abdul Hannan, Dnyaneshwari Patil, Ramesh Manza "Design New Wavelet Filter for Detection and Grading of Non-Proliferative Diabetic Retinopathy Lesions" The 3rd International Conference on recent Trends in Image Processing and pattern recognition, Springer conference, Jan 2020, Aurangabad, Maharashtra, India.
153. Y. M. Rajput, A. H. Hannan, M. E. Alzahrani, R. R. Manza, D. D. Patil, “EEG-Based Emotion Recognition Using Different Neural Network and Pattern Recognition Techniques–A Review”, International Journal of Computer Sciences and Engineering, Vol 6, Issue 9, Sep 2018.
154. Mohammad Eid Alzaharani and Shaikh Abdul Hannan, “Diagnosis and Medical Prescription of Heart Disease Using FFBP, SVM and RBF”,Page 6-15. , Issue,1, Vol 5, KKU Journal of Basic and Applied Sciences, Mar 2019.
155. Santosh Maher, Shaikh Abdul Hannan, Sumegh Tharewal, K. V. Kale " HRV based Human Heart Disease Prediction and Classification using Machine Learning " December 2019, (Vol. 17 No. 2 International Journal of Computer Science and Information SecApplicatiion (IJCA), New York, USA.
156. Akram Ablsubari, Shaikh Abdul Hannan, Mohammed Eid Alzaharani, Rakesh Ramteke, "Composite Feature Extraction and Classification for Fusion of Palmprint and Iris Biometric Traits", Engineering Technology and Applied Science Research, (ETASR) Volume 9, No 1, Feb 2019, Greece.
157. Santosh K. Maher, Sumegh Tharewal, Abdul Hannan, “Review on HRV based Prediction and Detection of Heart Disease”, International Journal of Computer Applications (0975 8887), Pag 7-12, Volume 179 – No.46, June 2018.
158. Y. M. Rajput, Shaikh Abdul Hannan, Mohammed Eid Alzahrani, R. R. Manza, Dnyaneshwari D. Patil, “EEG-Based Emotion Recognition Using Different Neural Network and Pattern Recognition Techniques – A Review” Vol 7, Issue 1, Jan 2019, E- ISSN: 2347-2693, India.
Yogesh Rajput, Shaikh Abdul Hannan, Mohammed Eid Alzaharani, D. Patil Ramesh Manza, Design and Development of New Algorithm for person identification Based on Iris statistical features and Retinal blood Vessels Bifurcation points” International Conference on Recent Trends in Image Processing & Pattern Recognition (RTIP2R), December 21-22, 2018, India.
Published
2022-10-28
How to Cite
R. Akashraj, & A. Muthukumaravel. (2022). Machine Learning Based Mammogram Classification for Breast Cancer Diagnosis Using Neural Networks. Central Asian Journal of Medical and Natural Science, 3(5), 492-510. Retrieved from https://cajmns.casjournal.org/index.php/CAJMNS/article/view/1120
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Articles
