SAMPLER: unsupervised representations for rapid analysis of whole slide tissue imagesResearch in context

SAMPLER: unsupervised representations for rapid analysis of whole slide tissue imagesResearch in context

Summary: Background: Deep learning has revolutionized digital pathology, allowing automatic analysis of hematoxylin and eosin (H&E) stained whole slide images (WSIs) for diverse tasks. WSIs are broken into smaller images called tiles, and a neural network encodes each tile. Many recent works us...

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Bibliographic Details
Main Authors: Patience Mukashyaka, Todd B. Sheridan, Ali Foroughi pour, Jeffrey H. Chuang
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:EBioMedicine
Subjects:
Digital pathology
Deep learning
Unsupervised learning
Representation learning
Multiple instance learning
WSI representation
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396423004747

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http://www.sciencedirect.com/science/article/pii/S2352396423004747

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