Computer Engineering, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition
18
Scopus Publications
233
Scholar Citations
8
Scholar h-index
6
Scholar i10-index
Scopus Publications
Effective BCDNet-based breast cancer classification model using hybrid deep learning with VGG16-based optimal feature extraction Meenakshi Devi P., Muna A., Yasser Ali, Sumanth V. BMC Medical Imaging, 2025 Problem Breast cancer is a leading cause of death among women, and early detection is crucial for improving survival rates. The manual breast cancer diagnosis utilizes more time and is subjective. Also, the previous CAD models mostly depend on manmade visual details that are complex to generalize across ultrasound images utilizing distinct techniques. Distinct imaging tools have been utilized in previous works such as mammography and MRI. However, these imaging tools are costly and less portable than ultrasound imaging. Also, ultrasound imaging is a non-invasive method commonly used for breast cancer screening. Hence, the paper presents a novel deep learning model, BCDNet, for classifying breast tumors as benign or malignant using ultrasound images. Aim The primary aim of the study is to design an effective breast cancer diagnosis model that can accurately classify tumors in their early stages, thus reducing mortality rates. The model aims to optimize the weight and parameters using the RPAOSM-ESO algorithm to enhance accuracy and minimize false negative rates. Methods The BCDNet model utilizes transfer learning from a pre-trained VGG16 network for feature extraction and employs an AHDNAM classification approach, which includes ASPP, DTCN, 1DCNN, and an attention mechanism. The RPAOSM-ESO algorithm is used to fine-tune the weights and parameters. Results The RPAOSM-ESO-BCDNet-based breast cancer diagnosis model provided 94.5 accuracy rates. This value is relatively higher than the previous models such as DTCN (88.2), 1DCNN (89.6), MobileNet (91.3), and ASPP-DTC-1DCNN-AM (93.8). Hence, it is guaranteed that the designed RPAOSM-ESO-BCDNet produces relatively accurate solutions for the classification than the previous models. Conclusion The BCDNet model, with its sophisticated feature extraction and classification techniques optimized by the RPAOSM-ESO algorithm, shows promise in accurately classifying breast tumors using ultrasound images. The study suggests that the model could be a valuable tool in the early detection of breast cancer, potentially saving lives and reducing the burden on healthcare systems.
Enhancing Legal Literacy Through LegalBuddy AI: Problem-Driven Design with Superior Outcome Metric N Saravanan, P Meenakshidevi, T Nandhini, A Hariprakash, V Yaswanth, ... 2026 International Conference on Future and Advanced Computing Technologies … , 2026 2026
Effective BCD Net-based breast cancer classification model using hybrid deep learning with VGG16-based optimal feature extraction Meenakshi Devi P., Muna A., Yasser Ali & Sumanth V. BMC Medical Imaging 25 (1), 12 , 2025 2025 Citations: 16
Novel methods for diagnosing glaucoma: Segmenting optic discs and cups using ensemble learning algorithms and cdr ratio analysis P Meenakshi Devi, S Gnanavel, KE Narayana, SN Sangeethaa IETE Journal of Research 70 (8), 6828-6847 , 2024 2024 Citations: 8
Automated Segmentation of Brain Tumor MRI Images Using Machine Learning P Meenakshidevi, P Kalyanasundaram, SN Kumar 2024 International Conference on Advances in Computing, Communication and … , 2024 2024 Citations: 4
Efficient machine learning models for the accurate prediction of diabetes P Meenakshidevi, TR Logesh, G Navayugan, MS Kannan 2024 International Conference on Science Technology Engineering and … , 2024 2024 Citations: 9
Multi-Source and Multi-Powered Smart Grid Prediction Using Deep Learning T Nandhini, R Surendar, P Meenakshidevi, M Sureshkrishna, ... 2024 International Conference on Science Technology Engineering and … , 2024 2024 Citations: 4
An attempt to enhance the time of reply for web service composition with QoS S Karthikeyan, PM Devi International Journal of Enterprise Network Management 11 (4), 289-303 , 2020 2020 Citations: 6
Performance analysis on cluster-based intrusion detection techniques for energy efficient and secured data communication in MANET AVS Babu, PM Devi, B Sharmila, D Suganya International Journal of Information Systems and Change Management 11 (1), 56-69 , 2019 2019 Citations: 9
Swarm optimised energy hubness clustering to detect and respond to intrusive attack variants in MANET AVS Babu, PM Devi International Journal of Business Innovation and Research 18 (3), 369-391 , 2019 2019 Citations: 4
An analysis of energy efficiency improvement through wireless energy transfer in wireless sensor network M Dhurgadevi, P Meenakshi Devi Wireless Personal Communications 98 (4), 3377-3391 , 2018 2018 Citations: 27
Efficient enhanced intrusion identification and response system for MANETs AVS Babu, PM Devi, B Sharmila International Journal of Business Information Systems 29 (4), 535-546 , 2018 2018 Citations: 13
Gene Populated Spectral Clustering for Energy Efficient Multiple Intrusion Detection and Responsive Mechanism for MANET AVS Babu, PM Devi Journal of Electrical Engineering 17 (4), 13-13 , 2017 2017 Citations: 2
TTRP-Three Level Threshold & Round Robin with Priority Scheduling for Wireless Rechargeable Network DPMD 7. M.Dhurgadevi Transactions on Engineering and Sciences 5 (1) , 2017 2017
An Efficient Crypto based Security Authentication System for Detecting Deduplication on Cloud Storage PMD Suriya L, Dhurga Devi M Discovery Engineering 4 (5), 400-405 , 2016 2016
An Analysis of hierarchical routing Protocols in Wireless sensor networks DPMD M.Dhurgadevi International Journal of Modern Computer Science and Applications 4 (4), 40-45 , 2016 2016
PSO based Algorithm for Wireless Rechargeable Sensor Networks DPMD M.Dhurgadevi International Journal of Computer Applications 156 (4), 0975 – 8887 , 2016 2016 Citations: 3
RDCG-Randomized distributed cluster grid topology for wireless power transfer technology in wireless sensor network DPMD M.Dhurgadevi Asian Journal of social science and humanities 6 (8), 303-317 , 2016 2016
An Analysis of Energy Efficiency of Leach Protocol in Wireless Sensor Network DPMD M.Dhurgadevi International Journal Of Inventions in Computer Science and Engineering 3 (2 … , 2016 2016
Comparative study of MANET routing protocols AV Babu, PM Devi, B Sharmila Asian Journal of Research in Social Sciences and Humanities 6 (6), 1924-1934 , 2016 2016 Citations: 5
Energy aware Intrusion Detection System for MANETs”,International Journal of Applied Engineering Research DPMD A.V.Santhosh Babu International Journal of Applied Engineering Research 10 (29), 22300-22304 , 2015 2015
MOST CITED SCHOLAR PUBLICATIONS
A fragile watermarking scheme for image authentication with tamper localization using integer wavelet transform P MeenakshiDevi, M Venkatesan, K Duraiswamy Journal of Computer Science 5 (11), 831 , 2009 2009 Citations: 68
A new data hiding scheme with quality control for binary images using block parity M Venkatesan, PM Devi, K Duraiswamy, K Thiagarajah Third International Symposium on Information Assurance and Security, 468-471 , 2007 2007 Citations: 34
An analysis of energy efficiency improvement through wireless energy transfer in wireless sensor network M Dhurgadevi, P Meenakshi Devi Wireless Personal Communications 98 (4), 3377-3391 , 2018 2018 Citations: 27
Effective BCD Net-based breast cancer classification model using hybrid deep learning with VGG16-based optimal feature extraction Meenakshi Devi P., Muna A., Yasser Ali & Sumanth V. BMC Medical Imaging 25 (1), 12 , 2025 2025 Citations: 16
Secure authentication watermarking for binary images using pattern matching M Venkatesan, P MeenakshiDevi, K Duraiswamy, K Thyagarajah IJCSNS International Journal of Computer Science and Network Security 8 (2 … , 2008 2008 Citations: 15
Efficient enhanced intrusion identification and response system for MANETs AVS Babu, PM Devi, B Sharmila International Journal of Business Information Systems 29 (4), 535-546 , 2018 2018 Citations: 13
Efficient machine learning models for the accurate prediction of diabetes P Meenakshidevi, TR Logesh, G Navayugan, MS Kannan 2024 International Conference on Science Technology Engineering and … , 2024 2024 Citations: 9
Performance analysis on cluster-based intrusion detection techniques for energy efficient and secured data communication in MANET AVS Babu, PM Devi, B Sharmila, D Suganya International Journal of Information Systems and Change Management 11 (1), 56-69 , 2019 2019 Citations: 9
Novel methods for diagnosing glaucoma: Segmenting optic discs and cups using ensemble learning algorithms and cdr ratio analysis P Meenakshi Devi, S Gnanavel, KE Narayana, SN Sangeethaa IETE Journal of Research 70 (8), 6828-6847 , 2024 2024 Citations: 8
An attempt to enhance the time of reply for web service composition with QoS S Karthikeyan, PM Devi International Journal of Enterprise Network Management 11 (4), 289-303 , 2020 2020 Citations: 6
Reversible image authentication with tamper localization based on integer wavelet transform PM Devi, M Venkatesan, K Duraiswamy arXiv preprint arXiv:0912.0607 , 2009 2009 Citations: 6
Comparative study of MANET routing protocols AV Babu, PM Devi, B Sharmila Asian Journal of Research in Social Sciences and Humanities 6 (6), 1924-1934 , 2016 2016 Citations: 5
Automated Segmentation of Brain Tumor MRI Images Using Machine Learning P Meenakshidevi, P Kalyanasundaram, SN Kumar 2024 International Conference on Advances in Computing, Communication and … , 2024 2024 Citations: 4
Multi-Source and Multi-Powered Smart Grid Prediction Using Deep Learning T Nandhini, R Surendar, P Meenakshidevi, M Sureshkrishna, ... 2024 International Conference on Science Technology Engineering and … , 2024 2024 Citations: 4
Swarm optimised energy hubness clustering to detect and respond to intrusive attack variants in MANET AVS Babu, PM Devi International Journal of Business Innovation and Research 18 (3), 369-391 , 2019 2019 Citations: 4
PSO based Algorithm for Wireless Rechargeable Sensor Networks DPMD M.Dhurgadevi International Journal of Computer Applications 156 (4), 0975 – 8887 , 2016 2016 Citations: 3
Gene Populated Spectral Clustering for Energy Efficient Multiple Intrusion Detection and Responsive Mechanism for MANET AVS Babu, PM Devi Journal of Electrical Engineering 17 (4), 13-13 , 2017 2017 Citations: 2
Enhancing Legal Literacy Through LegalBuddy AI: Problem-Driven Design with Superior Outcome Metric N Saravanan, P Meenakshidevi, T Nandhini, A Hariprakash, V Yaswanth, ... 2026 International Conference on Future and Advanced Computing Technologies … , 2026 2026
TTRP-Three Level Threshold & Round Robin with Priority Scheduling for Wireless Rechargeable Network DPMD 7. M.Dhurgadevi Transactions on Engineering and Sciences 5 (1) , 2017 2017
An Efficient Crypto based Security Authentication System for Detecting Deduplication on Cloud Storage PMD Suriya L, Dhurga Devi M Discovery Engineering 4 (5), 400-405 , 2016 2016
