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S Kumarganesh

Showing results (1-10 of 9) with videos related to

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Network (Bristol, England)|April 24, 2025
Classifications of meningioma brain images using the novel Convolutional Fuzzy C Means (CFCM) architecture and performance analysis of hardware incorporated tumor segmentation moduleK Jayaram, S Kumarganesh, A Immanuvel, et al.
Computers in Biology and Medicine|August 19, 2025
Enhancing pancreatic cancer detection through RIDT-RLC: A robust ensemble approach with gradient descent logit boostingK Murugan, S Kumarganesh, K Martin Sagayam, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|June 27, 2024
Detection and Segmentation of Glioma Tumors Utilizing a UNet Convolutional Neural Network Approach with Non-Subsampled Shearlet TransformM Tamilarasi, S Kumarganesh, K Martin Sagayam, et al.
Digital Health|January 12, 2026
Diabetic retinopathy detection and grading system using deep learning approachD Siva Sundhara Raja, S Kumarganesh, K Martin Sagayam, et al.
Discover Nano|January 13, 2025
Integration of silver nanostructures in wireless sensor networks for enhanced biochemical sensingM Sahaya Sheela, S Kumarganesh, Binay Kumar Pandey, et al.
Discover Nano|January 4, 2026
Enhanced plasmonic biosensors with machine learning for ultra-sensitive detectionM Sahaya Sheela, A Ponraj, S Kumarganesh, et al.
Scientific Reports|September 4, 2023
Meningioma brain tumor detection and classification using hybrid CNN method and RIDGELET transformB V Prakash, A Rajiv Kannan, N Santhiyakumari, et al.
Computers in Biology and Medicine|March 28, 2025
Enhancing healthcare data security using RFE and CRHSM for big dataC Sreedhar, K Mahesh Babu, Suresh Kallam, et al.
Scientific Reports|March 11, 2026
Securing internet of things devices using a hybrid approachR Sherine Jenny, N Sugirtham, B Thiyaneswaran, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Network (Bristol, England)|April 24, 2025
Classifications of meningioma brain images using the novel Convolutional Fuzzy C Means (CFCM) architecture and performance analysis of hardware incorporated tumor segmentation moduleK Jayaram, S Kumarganesh, A Immanuvel, et al.
Computers in Biology and Medicine|August 19, 2025
Enhancing pancreatic cancer detection through RIDT-RLC: A robust ensemble approach with gradient descent logit boostingK Murugan, S Kumarganesh, K Martin Sagayam, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|June 27, 2024
Detection and Segmentation of Glioma Tumors Utilizing a UNet Convolutional Neural Network Approach with Non-Subsampled Shearlet TransformM Tamilarasi, S Kumarganesh, K Martin Sagayam, et al.
Digital Health|January 12, 2026
Diabetic retinopathy detection and grading system using deep learning approachD Siva Sundhara Raja, S Kumarganesh, K Martin Sagayam, et al.
Discover Nano|January 13, 2025
Integration of silver nanostructures in wireless sensor networks for enhanced biochemical sensingM Sahaya Sheela, S Kumarganesh, Binay Kumar Pandey, et al.
Discover Nano|January 4, 2026
Enhanced plasmonic biosensors with machine learning for ultra-sensitive detectionM Sahaya Sheela, A Ponraj, S Kumarganesh, et al.
Scientific Reports|September 4, 2023
Meningioma brain tumor detection and classification using hybrid CNN method and RIDGELET transformB V Prakash, A Rajiv Kannan, N Santhiyakumari, et al.
Computers in Biology and Medicine|March 28, 2025
Enhancing healthcare data security using RFE and CRHSM for big dataC Sreedhar, K Mahesh Babu, Suresh Kallam, et al.
Scientific Reports|March 11, 2026
Securing internet of things devices using a hybrid approachR Sherine Jenny, N Sugirtham, B Thiyaneswaran, et al.
Pageof 1