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A Novel Multi-Stage Fusion Pipeline for Robust and Interpretable Melanoma Classification Using Physics-Informed and Vision-Language Models

2026-03-02

Abstract excerpt

<title>Abstract</title> <p>Melanoma, a highly aggressive form of skin cancer, requires early and accurate diagnosis to improve patient survival, yet existing deep learning methods often struggle with noise, limited labeled data, poor calibration, and cross-domain generalization. This paper proposes a novel, modular AI-driven pipeline for melanoma classification from dermoscopic images that integrates physics-info...

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Literature Corpus work
fd153816-8c4e-5068-b1bf-355815d9737b
DOI
10.21203/rs.3.rs-8785131/v1
Open publication

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A Novel Multi-Stage Fusion Pipeline for Robust and Interpretable Melanoma Classification Using Physics-Informed and Vision-Language ModelsDOI 10.21203/rs.3.rs-8785131/v1
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