Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm. (arXiv:2207.02942v1 [cs.CV])

While artificial intelligence (AI) holds promise for supporting healthcare
providers and improving the accuracy of medical diagnoses, a lack of
transparency in the composition of datasets exposes AI models to the
possibility of unintentional and avoidable mistakes. In particular, public and
private image datasets of dermatological conditions rarely include information
on skin color. As a start towards increasing transparency, AI researchers have
appropriated the use of the Fitzpatrick skin type (FST) from a measure of
patient photosensitivity to a measure …

algorithm annotations arxiv cv datasets dermatology experts image transparency