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Uncovering and Correcting Shortcut Learning in Machine Learning Models for Skin Cancer Diagnosis

Machine learning models have been successfully applied for analysis of skin images. However, due to the black box nature of such deep learning models, it is difficult to understand their underlying reasoning. This prevents a human from validating whether the model is right for the right reasons. Spu...

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Principais autores: Meike Nauta, Ricky Walsh, Adam Dubowski, Christin Seifert
Formato: Artigo
Idioma:Inglês
Publicado: MDPI AG 2021-12-01
Series:Diagnostics
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Acceso en liña:https://www.mdpi.com/2075-4418/12/1/40
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