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Article

Deceptive learning in histopathology.

Histopathology - 1 Jul 2024

Shahamatdar Sahar, Saeed-Vafa Daryoush, Linsley Drew, Khalil Farah, Lovinger Katherine, Li Lester, McLeod Howard T, Ramachandran Sohini, Serre Thomas

Abstract excerpt

AIMS: Deep learning holds immense potential for histopathology, automating tasks that are simple for expert pathologists and revealing novel biology for tasks that were previously considered difficult or impossible to solve by eye alone. However, the extent to which the visual strategies learned by deep learning models in histopathological analysis are trustworthy or not has yet to be systematically analysed....

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Identifiers

PMID: 38556922
DOI: 10.1111/his.15180
PMCID: PMC11162337

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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