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Nuclear Morphology Tracks Molecular Class Unevenly Across Four Cancers

2026-08-20

Abstract excerpt

<title>Abstract</title> <p>Computational pathology can quantify nuclear morphology from routine haematoxylin and eosin (H&E) whole-slide images, raising the prospect of inferring molecular class from tissue alone. The untested question is when this works, since some molecular distinctions are morphologically encoded and others are not. Using the open-access tier of The Cancer Genome Atlas (TCGA), we assembled dia...

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Literature Corpus work
42bc0361-98a7-5ae9-bf89-5b69859a360e
DOI
10.21203/rs.3.rs-10623310/v1
Open publication

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Nuclear Morphology Tracks Molecular Class Unevenly Across Four CancersDOI 10.21203/rs.3.rs-10623310/v1
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