Enhancing Skin Disease Classification with MetaCLIP Models: A Multi-Dataset Analysis Across 15 Sources

Early detection of skin conditions is essential for prompt treatment, which improves patient outcomes and minimizes complications. Identifying the initial stage of skin diagnosis reduces discomfort, pain, or other symptoms and significantly improves i

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Publication Details

Published
2025-08-25
DOI
https://doi.org/10.22541/au.175615570.06748246/v1
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Skin Disease Classification with MetaCLIP Models: A Multi-Dataset Analysis Across 15 Sources

Kalapraveen Bagadi, Naga Raju Challa, Visalakshi Annepu, Olutayo Oyerinde et al.
Cutaneous Melanoma Detection and Management
article

Enhancing Skin Disease Classification with MetaCLIP Models: A Multi-Dataset Analysis Across 15 Sources

Kalapraveen Bagadi, Naga Raju Challa, Visalakshi Annepu, Olutayo Oyerinde, Lalit Kumar, Bhuma Chandra Mohan, Tanguturi Naga Malleswari
article en

Abstract

Early detection of skin conditions is essential for prompt treatment, which improves patient outcomes and minimizes complications. Identifying the initial stage of skin diagnosis reduces discomfort, pain, or other symptoms and significantly improves i

Viterbo University (US), University of the Witwatersrand (ZA)
Openalex Percentile: Top 69%
Cutaneous Melanoma Detection and Management
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