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Label-Free Structure Discovery in Breast Cancer Histopathology: K-Means and Fuzzy C-Means on Handcrafted Descriptors under Subtype-Disjoint Cross-Validation

2026-08-25

Abstract excerpt

<title>Abstract</title> <p>Background There will be over 3.2 million new breast cancer cases a year by 2050 and most of these will be in low- and middle-income countries (LMICs) where pathologists are limited. The current state-of-the-art approach to computational pathology is supervised deep learning, which relies on the availability of large collections of annotated images which are hard to be assembled in suc...

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Literature Corpus work: 04e475ef-3f4e-5bbd-ab26-0048cdb97243
DOI: 10.21203/rs.3.rs-10796929/v1

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Label-Free Structure Discovery in Breast Cancer Histopathology: K-Means and Fuzzy C-Means on Handcrafted Descriptors under Subtype-Disjoint Cross-ValidationDOI 10.21203/rs.3.rs-10796929/v1Read

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