| Cytology image analysis techniques toward automation: systematically revisited S Mitra, N Das, S Dey, S Chakraborty, M Nasipuri, MK Naskar ACM Computing Surveys (CSUR) 54 (3), 1-41, 2021 | 21* | 2021 |
| SynCGAN: Using learnable class specific priors to generate synthetic data for improving classifier performance on cytological images S Dey, S Das, S Ghosh, S Mitra, S Chakrabarty, N Das Computer Vision, Pattern Recognition, Image Processing, and Graphics: 7th …, 2020 | 9 | 2020 |
| GC-EnC: A Copula based ensemble of CNNs for malignancy identification in breast histopathology and cytology images S Dey, S Mitra, S Chakraborty, D Mondal, M Nasipuri, N Das Computers in Biology and Medicine 152, 106329, 2023 | 6 | 2023 |
| Identification of malignancy from cytological images based on superpixel and convolutional neural networks S Mitra, S Dey, N Das, S Chakrabarty, M Nasipuri, MK Naskar Intelligent Computing Paradigm: Recent Trends, 103-122, 2020 | 5 | 2020 |
| Identification of Benign and Malignant Cells from cytological images using superpixel based segmentation approach S Mitra, S Dey, N Das, S Chakrabarty, M Nasipuri, MK Naskar Social Transformation–Digital Way: 52nd Annual Convention of the Computer …, 2018 | 5* | 2018 |
| Fuzzy Rank-based Late Fusion Technique for Cytology image Segmentation S Dey, S Chakraborty, UG Roy, N Das arXiv preprint arXiv:2403.10884, 2024 | | 2024 |
| Could We Generate Cytology Images from Histopathology Images? An Empirical Study S Dey, S Chakraborty, UG Roy, N Das arXiv preprint arXiv:2403.10885, 2024 | | 2024 |
| Malignancy Identification from Cytology Images Using Deep Optimal Features S Dey, S Nasipuri, O Ghosh, S Chakraborty, D Mondal, N Das International Conference on Data, Electronics and Computing, 279-287, 2022 | | 2022 |
Shyamali MitraAssistant Professor, Jadavpur UniversityVerified email at jadavpuruniversity.in
