LCSD-Net: a light-weight cross-attention-based semantic dual transformer for domain generalization in melanoma detection

The LCSD model mitigates the influence of irrelevant visual characteristics, enhances domain generalization, and ensures better adaptability across diverse clinical scenarios. Its lightweight design further supports deployment in mobile applications, making it a reliable and efficient solution for real-world melanoma detection.

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Publication Details

Journal
Journal of Medical Imaging
Published
2026-01-06
DOI
https://doi.org/10.1117/1.jmi.13.1.014502
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
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article

LCSD-Net: a light-weight cross-attention-based semantic dual transformer for domain generalization in melanoma detection

Neeraj Gupta, Rishi Agrawal, Anand Singh Jalal
Journal of Medical Imaging
Cutaneous Melanoma Detection and Management
article

LCSD-Net: a light-weight cross-attention-based semantic dual transformer for domain generalization in melanoma detection

Neeraj Gupta, Rishi Agrawal, Anand Singh Jalal
article en

Abstract

The LCSD model mitigates the influence of irrelevant visual characteristics, enhances domain generalization, and ensures better adaptability across diverse clinical scenarios. Its lightweight design further supports deployment in mobile applications, making it a reliable and efficient solution for real-world melanoma detection.

Journal of Medical ImagingVol. 13(01)
Devi Ahilya Vishwavidyalaya (IN), GLA University (IN)
Openalex Percentile: Top 97%
Cutaneous Melanoma Detection and Management
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