1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.IV2022★ 1 cited
Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation
Nikhil Cherian Kurian, Amit Lohan, Gregory Verghese +8
Although the U-Net architecture has been extensively used for segmentation of medical images, we address two of its shortcomings in this work. Firstly, the accuracy of vanilla U-Ne…
cs.CV2020
Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning
Abhijeet Patil, Dipesh Tamboli, Swati Meena +2
Breast cancer has the highest mortality among cancers in women. Computer-aided pathology to analyze microscopic histopathology images for diagnosis with an increasing number of bre…