Weakly-supervised tumor purity prediction from frozen H&E stained slides

Weakly-supervised tumor purity prediction from frozen H&E stained slides

Summary: Background: Estimating tumor purity is especially important in the age of precision medicine. Purity estimates have been shown to be critical for correction of tumor sequencing results, and higher purity samples allow for more accurate interpretations from next-generation sequencing result...

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Bibliographic Details
Main Authors: Matthew Brendel, Vanesa Getseva, Majd Al Assaad, Michael Sigouros, Alexandros Sigaras, Troy Kane, Pegah Khosravi, Juan Miguel Mosquera, Olivier Elemento, Iman Hajirasouliha
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:EBioMedicine
Subjects:
Deep Learning
Computational pathology
Tumor purity estimation
Precision medicine
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396422002481

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http://www.sciencedirect.com/science/article/pii/S2352396422002481

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