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cs.CV2025
ViConEx-Med: Visual Concept Explainability via Multi-Concept Token Transformer for Medical Image Analysis
Cristiano Patrício, Luís F. Teixeira, João C. Neves
Concept-based models aim to explain model decisions with human-understandable concepts. However, most existing approaches treat concepts as numerical attributes, without providing…
cs.CV2025
CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image Classification
Cristiano Patrício, Isabel Rio-Torto, Jaime S. Cardoso +2
The main challenges limiting the adoption of deep learning-based solutions in medical workflows are the availability of annotated data and the lack of interpretability of such syst…