Comparative analysis of multimodal architectures for effective skin lesion detection using clinical and image data

Our findings demonstrate that integrating clinical metadata with dermatoscopic images substantially improves the accuracy of skin lesion classification. However, challenges, including class imbalance and the computational complexity of advanced fusion methods, require further investigation.

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Publication Details

Journal
Frontiers in Artificial Intelligence
Published
2025-08-18
DOI
https://doi.org/10.3389/frai.2025.1608837
Citations
1
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
1.05
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article

Comparative analysis of multimodal architectures for effective skin lesion detection using clinical and image data

Nisha P. Shetty, Vedant Agarwal, Abhishek Das
1 citations
Frontiers in Artificial Intelligence
Cutaneous Melanoma Detection and Management
1.05
article

Comparative analysis of multimodal architectures for effective skin lesion detection using clinical and image data

Nisha P. Shetty, Vedant Agarwal, Abhishek Das
article en
1 citations

Abstract

Our findings demonstrate that integrating clinical metadata with dermatoscopic images substantially improves the accuracy of skin lesion classification. However, challenges, including class imbalance and the computational complexity of advanced fusion methods, require further investigation.

Frontiers in Artificial IntelligenceVol. 8
Manipal Academy of Higher Education (IN)
Openalex Percentile: Top 19%
Cutaneous Melanoma Detection and Management
1.05
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