1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CV2020★ 1 cited
Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline
Beibin Li, Ezgi Mercan, Sachin Mehta +5
In this study, we propose the Ductal Instance-Oriented Pipeline (DIOP) that contains a duct-level instance segmentation model, a tissue-level semantic segmentation model, and three…
cs.CV2018
Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images
Sachin Mehta, Ezgi Mercan, Jamen Bartlett +3
In this paper, we introduce a conceptually simple network for generating discriminative tissue-level segmentation masks for the purpose of breast cancer diagnosis. Our method effic…
cs.CV2017
Learning to Segment Breast Biopsy Whole Slide Images
Sachin Mehta, Ezgi Mercan, Jamen Bartlett +3
We trained and applied an encoder-decoder model to semantically segment breast biopsy images into biologically meaningful tissue labels. Since conventional encoder-decoder networks…