| Breast histopathological image analysis using image processing techniques for diagnostic purposes: A methodological review R Rashmi, K Prasad, CBK Udupa Journal of Medical Systems, 2021 | 77 | 2021 |
| A comparative evaluation of texture features for semantic segmentation of breast histopathological images R Rashmi, K Prasad, CBK Udupa, V Shwetha IEEE Access 8, 64331-64346, 2020 | 24 | 2020 |
| BCHisto-Net: Breast histopathological image classification by global and local feature aggregation R Rashmi, K Prasad, CBK Udupa Artificial Intelligence in Medicine 121, 102191, 2021 | 19 | 2021 |
| Region-based feature enhancement using channel-wise attention for classification of breast histopathological images R Rashmi, K Prasad, CBK Udupa Neural Computing and Applications 35 (8), 5839-5854, 2023 | 12 | 2023 |
| Multi-channel Chan-Vese model for unsupervised segmentation of nuclei from breast histopathological images R Rashmi, K Prasad, CBK Udupa Computers in Biology and Medicine 136, 104651, 2021 | 8 | 2021 |
| Semantic Segmentation of Nuclei from Breast Histopathological Images by Incorporating Attention in U-Net R Rashmi, K Prasad, CBK Udupa International Conference on Computer Vision and Image Processing (CVIP) 1376 …, 2021 | 2 | 2021 |
| Diagnosis of breast cancer from histopathological images using artificial intelligence R Rashmi, K Prasad, CBK Udupa Artificial Intelligence in Cancer Diagnosis and Prognosis, Volume 2: Breast …, 2022 | | 2022 |
| Breast Histopathological Image Classification Using Deep Learning R Rashmi, K Prasad, CBK Udupa 2021 IEEE International Conference on Electronics, Computing and …, 2021 | | 2021 |
| Automation of breast cancer detection from histopathological images R Rashmi Manipal, 0 | | |
Keerthana PrasadManipal Academy of Higher EducationE-mail megerősítve itt: manipal.edu
