Search Results for author: Joann G. Elmore

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

HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy Images

1 code implementation25 Jul 2020 Sachin Mehta, Ximing Lu, Donald Weaver, Joann G. Elmore, Hannaneh Hajishirzi, Linda Shapiro

HATNet extends the bag-of-words approach and uses self-attention to encode global information, allowing it to learn representations from clinically relevant tissue structures without any explicit supervision.

Histopathological Image Classification Image Classification

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

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