Health AI Central
Peer-Reviewed Publication
Am J Pathol2025;195(4):680-689.April 1, 2025Journal Article

Deep Learning for Classification of Inflammatory Bowel Disease Activity in Whole Slide Images of Colonic Histopathology.

Amit Das1, Tanmay Shukla2, Naofumi Tomita2, Ryland Richards3, Laura Vidis3, Bing Ren3, Saeed Hassanpour4
1Department of Computer Science, Dartmouth College, Hanover, New Hampshire.
2Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire.
3Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
4Department of Computer Science, Dartmouth College, Hanover, New Hampshire; Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire; Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire. Electronic address: saeed.hassanpour@dartmouth.edu.
PubMed PMC DOI PDF

Abstract

Grading activity of inflammatory bowel disease (IBD) using standardized histopathological scoring systems remains challenging due to limited availability of pathologists with IBD expertise and interobserver variability. In this study, a deep learning model was developed to classify activity grades in hematoxylin and eosin-stained whole slide images (WSIs) from patients with IBD, offering a robust…

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