Preprint
Sep 2026
From Image Latent Space to Fuzzy Rules: Interpretable Analysis of Gastrointestinal Foundation Model
Foundation models pretrained on large-scale datasets demonstrate strong transferability to medical imaging tasks. However, understanding how their latent representations encode clinically relevant information remains an open challenge in safety-critical domains. This study proposes a prototype-based fuzzy-rule framewor...
Michael D. Vasilakakis, Dimitris K. Iakovidis Department of Computer Science, Biomedical Informatics et al.
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