Article
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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Identifiers and source
- Literature Corpus work
- 42bc0361-98a7-5ae9-bf89-5b69859a360e
- DOI
- 10.21203/rs.3.rs-10623310/v1
