This is the metadata for the dataset of 1,295 consecutive lesions biopsied to rule out melanoma in 2020 at a tertiary cancer center in the United States, annotated with patient demographics, lesion diameter, human labelers, Melanocytic Pathology Assessment Tool and Hierarchy for Diagnosis (MPATH-Dx) class for degree of dysplasia or atypia, and reference standard histopathological diagnosis. We validated this dataset against an open-source binary classifier for melanoma that won the International Skin Imaging Collaboration (ISIC) grand challenge for melanoma detection in 2020 held on Kaggle. This experiment and results were described in a paper recently submitted to the NeurIPS 2022 Datasets and Benchmarks Track.
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Metadata and materials for "Lesion size matters: A validation dataset for melanoma detection"
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ISIC-Research/lesion-size-2020
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Metadata and materials for "Lesion size matters: A validation dataset for melanoma detection"
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