Article

Improving the Quality of Skin Lesion Data for Training Vision-Language Models

2026-02-27

Abstract excerpt

<title>Abstract</title> <p>Skin cancer diagnosis using machine learning faces significant challenges, primarily due to the lack of well-labelled and balanced skin lesion datasets. Most available datasets are limited to only two lesion types; melanoma and nevi, or they exhibit severe class and skin tone imbalance leading to biases during model training. Furthermore, vision-language models (VLMs) face an additional...

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Literature Corpus work: df9c6020-a479-5786-a519-9835e1f85c5a
DOI: 10.21203/rs.3.rs-8871094/v1

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