MED-NODE: A computer-assisted melanoma diagnosis system using non-dermoscopic images

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Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm. (2018, background): “The second dataset used, the MED-NODE dataset (http://www.cs. rug.nl/ w imaging/databases/melanoma_naevi), contained 70 melanoma and 100 nevus images from the Department of Dermatology at the University Medical Center Groningen (Giotis et al., 2015).”
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset (2021, background): “…ISIC Skin Image Analysis Work-shop at CVPR 2021 (Derm7pt [30], Dermoﬁt Image Li-brary, ISIC 2018 [16, 52], ISIC 2019 [15, 52, 18], ISIC 2020[46, 17], MED-NODE [27], PH2 [37], SD-128 [49], SD-198, SD-260) include skin type or skin color labels or any other information related to race and ethnicity.”
Characteristics of publicly available skin cancer image datasets: a systematic review. (2021, background): “Of the two datasets containing data on ethnicity (1585 images in total), 45,47 no images were from individuals with an African, Afro-Caribbean, or South Asian background.”