Search Results for author: Ezgi Mercan

Found 3 papers, 3 papers with code

Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline

1 code implementation11 Dec 2020 Beibin Li, Ezgi Mercan, Sachin Mehta, Stevan Knezevich, Corey W. Arnold, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro

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-levels of features for diagnostic classification.

General Classification Instance Segmentation +1

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

2 code implementations4 Jun 2018 Sachin Mehta, Ezgi Mercan, Jamen Bartlett, Donald Weave, Joann G. Elmore, Linda Shapiro

In this paper, we introduce a conceptually simple network for generating discriminative tissue-level segmentation masks for the purpose of breast cancer diagnosis.

General Classification Medical Image Segmentation

Learning to Segment Breast Biopsy Whole Slide Images

1 code implementation8 Sep 2017 Sachin Mehta, Ezgi Mercan, Jamen Bartlett, Donald Weaver, Joann Elmore, Linda Shapiro

We trained and applied an encoder-decoder model to semantically segment breast biopsy images into biologically meaningful tissue labels.

whole slide images

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