Semantic Segmentation of Nuclei from Breast Histopathological Images by Incorporating Attention in U-Net. - R. Rashmi; Keerthana Prasad; Chethana Babu K. Udupa (CVIP (1), 2020)

A Comparative Evaluation of Texture Features for Semantic Segmentation of Breast Histopathological Images. - R. Rashmi; Keerthana Prasad; Chethana Babu K. Udupa; V. Shwetha (IEEE Access, 2020)

BCHisto-Net: Breast histopathological image classification by global and local feature aggregation. - R. Rashmi; Keerthana Prasad; Chethana Babu K. Udupa (Artif. Intell. Medicine, 2021)

Multi-channel Chan-Vese model for unsupervised segmentation of nuclei from breast histopathological images. - R. Rashmi; Keerthana Prasad; Chethana Babu K. Udupa (Comput. Biol. Medicine, 2021)

Breast histopathological image analysis using image processing techniques for diagnostic puposes: A methodological review. - R. Rashmi; Keerthana Prasad; Chethana Babu K. Udupa (J. Medical Syst., 2022)

Region-based feature enhancement using channel-wise attention for classification of breast histopathological images. - R. Rashmi; Keerthana Prasad; Chethana Babu K. Udupa (Neural Comput. Appl., 2023)