| Melanoma diagnosis using deep learning and fuzzy logic S Banerjee, SK Singh, A Chakraborty, A Das, R Bag Diagnostics 10 (8), 577, 2020 | 70 | 2020 |
| Diagnosis of Melanoma Lesion Using Neutrosophic and Deep Learning. S Banerjee, SK Singh, A Chakraborty, S Basu, A Das, R Bag Traitement du Signal 38 (5), 2021 | 13 | 2021 |
| Skin cancer diagnosis based on neutrosophic features with a deep neural network SK Singh, V Abolghasemi, MH Anisi Sensors 22 (16), 6261, 2022 | 12 | 2022 |
| Classification of Melanoma Skin Cancer Using Inception-ResNet SK Singh, S Banerjee, A Chakraborty, A Bandyopadhyay Frontiers of ICT in Healthcare: Proceedings of EAIT 2022, 65-74, 2023 | 5 | 2023 |
| Diagnoses of Melanoma lesion using YOLOv3 S Banerjee, SK Singh, A Das, R Bag Computational Advancement in Communication, Circuits and Systems …, 2022 | 3 | 2022 |
| Diagnosis of skin cancer using novel computer vision and deep learning techniques SK Singh University of Essex, 2022 | 1 | 2022 |
| Recognition of Hindi and Bengali Handwritten and Typed Text from Images using Tesseract on Android Platform S Banerjee, SK Singh, A Das, R Bag | 1 | 2019 |
| Multi-criterial Offloading Decision Making in Green Mobile Cloud Computing SK Avishek Chakraborty, Anwesha Mukherjee, Soumya Bhattacharyya, Singh | | 2022 |
| Recognition of English Handwritten and Typed Text from Images using Tesseract on Android Platform RB Shubhendu Banerjee, Sumit Kumar Singh, Atanu Das International Journal of Innovative Technology and Exploring Engineering. 9 (1), 2020 | | 2020 |
Shubhendu BanerjeeAssistant Professor Narula Institute of TechnologyVerified email at nit.ac.in
