A two-step concept-based approach for enhanced interpretability and trust in skin lesion diagnosis
The main challenges hindering the adoption of deep learning-based systems in clinical settings are the scarcity of annotated data and the lack of interpretability and trust in these systems. Concept Bottleneck Models (CBMs) offer inherent interpretability by constraining the final disease prediction...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier
2025-01-01
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| Serie: | Computational and Structural Biotechnology Journal |
| Soggetti: | |
| Accesso online: | http://www.sciencedirect.com/science/article/pii/S2001037025000418 |
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