Article

A human-in-the-loop explanation framework for morphologically transparent AI predictions from whole-slide images

2026-01-29

Abstract excerpt

Deep learning models enable the prediction of clinical endpoints from whole-slide images (WSIs), but many such models function as “black boxes”, lacking transparency about whether and which histomorphological patterns drive their predictions, hindering interpretability and clinical adoption. Here we propose a human-in-the-loop explanation framework, MorphoXAI, which provides both local and global interpretability...

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Literature Corpus work: 4c92efac-e003-52a6-a183-0a0009e490c7
DOI: 10.64898/2026.01.27.701796

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