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A Clinical Benchmark of Foundation Models: Towards Reliable Morphological Subtyping and Cancer Detection on Real-World Barrett’s Esophagus Data

2025-11-11

Abstract excerpt

<title>Abstract</title> <p>The applicability of emergent histopathology foundation models (Histo-FMs) to real-world diagnostic problems remains unproven. Given the complexity of clinical tasks and the challenges inherent in real-world data, we utilized Histo-FMs to investigate their utility for diagnosing Barrett’s esophagus (BE) and detecting esophageal adenocarcinoma (EAC), a rare malignancy associated with poo...

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Literature Corpus work
d2f7723c-d7f1-51f8-a2d9-17f44ea2c9fe
DOI
10.21203/rs.3.rs-8066034/v1
Open publication

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A Clinical Benchmark of Foundation Models: Towards Reliable Morphological Subtyping and Cancer Detection on Real-World Barrett’s Esophagus DataDOI 10.21203/rs.3.rs-8066034/v1
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