CristianoPatricio/concept-based-interpretability-VLM
Code for the paper "Towards Concept-based Interpretability of Skin Lesion Diagnosis using Vision-Language Models", IEEE ISBI 2024 (Oral).
This project helps medical researchers and dermatologists analyze skin lesion images with clearer explanations. It takes images of skin lesions and processes them using advanced AI models to provide interpretations that highlight the key visual concepts used in diagnosis. The primary users are researchers in dermatology and medical imaging who need to understand how AI models arrive at their diagnostic conclusions.
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Use this if you are a medical researcher or dermatologist seeking to understand and interpret AI-driven diagnoses of skin lesions using visual concepts.
Not ideal if you are looking for a plug-and-play clinical diagnostic tool or do not have experience with setting up and running machine learning models.
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Last pushed
Jun 05, 2024
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