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 | 47 | 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 | 22 | 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 | 11 | 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 | 6 | 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 | 6 | 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 | 1 | 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 | | |