Histo-fetch – On-the-fly processing of gigapixel whole slide images simplifies and speeds neural network training

Histo-fetch – On-the-fly processing of gigapixel whole slide images simplifies and speeds neural network training

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Background: Training convolutional neural networks using pathology whole slide images (WSIs) is traditionally prefaced by the extraction of a training dataset of image patches. While effective, for large datasets of WSIs, this dataset preparation is inefficient. Methods: We created a custom pipeline...

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Bibliographic Details
Main Authors: Brendon Lutnick, Leema Krishna Murali, Brandon Ginley, Avi Z Rosenberg, Pinaki Sarder
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Journal of Pathology Informatics
Subjects:
convolutional neural network
generative adversarial network
tensorflow
whole slide images
Online Access:http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2022;volume=13;issue=1;spage=7;epage=7;aulast=Lutnick

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http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2022;volume=13;issue=1;spage=7;epage=7;aulast=Lutnick

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