Article

SkinLiTE: Lightweight Supervised Contrastive Learning Model for Enhanced Skin Lesion Detection and Disease Typification in Dermoscopic Images

2024-03-05

Abstract excerpt

This study introduces SkinLiTE, a lightweight supervised contrastive learning model, tailored to enhance the detection and typification of skin lesions in dermoscopic images. The core of SkinLiTE lies in its unique integration of supervised and contrastive learning approaches, which leverages labeled data to learn generalizable representations. This approach is particularly adept at handling the complexities and i...

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Literature Corpus work: 082ac014-4ec9-50c5-8f76-9bb4d7554428
DOI: 10.20944/preprints202403.0126.v1

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