Analysis of cellularity in H&E-stained rat bone marrow tissue via deep learning

Analysis of cellularity in H&E-stained rat bone marrow tissue via deep learning

Our objective was to develop an automated deep-learning-based method to evaluate cellularity in rat bone marrow hematoxylin and eosin whole slide images for preclinical safety assessment. We trained a shallow CNN for segmenting marrow, 2 Mask R-CNN models for segmenting megakaryocytes (MKCs), and sm...

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Bibliographic Details
Main Authors: Smadar Shiffman, Edgar A. Rios Piedra, Adeyemi O. Adedeji, Catherine F. Ruff, Rachel N. Andrews, Paula Katavolos, Evan Liu, Ashley Forster, Jochen Brumm, Reina N. Fuji, Ruth Sullivan
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Journal of Pathology Informatics
Subjects:
Cell quantification
Deep learning
Digital pathology
H&E rat bone marrow
Online Access:http://www.sciencedirect.com/science/article/pii/S2153353923001475

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http://www.sciencedirect.com/science/article/pii/S2153353923001475

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