A tool for federated training of segmentation models on whole slide images

A tool for federated training of segmentation models on whole slide images

The largest bottleneck to the development of convolutional neural network (CNN) models in the computational pathology domain is the collection and curation of diverse training datasets. Training CNNs requires large cohorts of image data, and model generalizability is dependent on training data heter...

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Bibliographic Details
Main Authors: Brendon Lutnick, David Manthey, Jan U. Becker, Jonathan E. Zuckerman, Luis Rodrigues, Kuang-Yu Jen, Pinaki Sarder
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Journal of Pathology Informatics
Subjects:
Computational pathology
Cloud computing
Federated learning
Renal pathology
Interstitial fibrosis and tubular atrophy
Online Access:http://www.sciencedirect.com/science/article/pii/S2153353922006952

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http://www.sciencedirect.com/science/article/pii/S2153353922006952

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