RD Dataset

1. RD.xlsxRD dataset was created by the images from the melanoma community on the internet (https://reddit.com/r/melanoma). Consecutive images were included using a python library (https://github.com/aliparlakci/bulk-downloader-for-reddit) from Jan 25, 2020, to July 30, 2021. The ground truth was voted by four dermatologists and one plastic surgeon while referring to the chief complaint and brief history. A total of 1,282 images (1,201 cases) were finally included.The download links and ground truth of the RD dataset are described in the Supplementary Table S6. Because of the deleted cases by users, the links of 860 cases are valid in July 2021. If the full archive is needed for research purpose, please email to Dr. Han Seung Seog ([e-mail]).<br>2. Background normal test with the ISIC imagesISIC dataset (https://www.isic-archive.com; Gallery -&gt; 2018 JID Editorial images; 99 images; ISIC_0024262 and ISIC_0024261 are identical images and ISIC_0024262 was skipped) was used for the background normal test. We defined 10% area rectangle crop to “specialist-size crop”, and 5% area rectangle crop to “layperson-size crop”a) S-crops.zip: specialist-size crops<br>Format: CROPNO_AGE(0~99)_GENDER(1=male,0=female)[m]_FILENAME.pngb) L-crops.zip: layperson-size crops<br>Format: CROPNO_AGE(0~99)_GENDER(1=male,0=female)[m]_FILENAME.pngc) result_S.zip: Background normal test result using the specialist-size crops<br>d) result_L.zip; Background normal test result using the layperson-size crops