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Found 2 papers, 2 papers with code
Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification
Convolutional Neural Networks have demonstrated human-level performance in the classification of melanoma and other skin lesions, but evident performance disparities between differing skin tones should be addressed before widespread deployment.
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification
Convolutional Neural Networks have demonstrated dermatologist-level performance in the classification of melanoma from skin lesion images, but prediction irregularities due to biases seen within the training data are an issue that should be addressed before widespread deployment is possible.
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