Skin Lesion Analysis for Melanoma Detection

There are 10,015 training images and 1512 test images in ISIC 2018, including lesion categories of melanoma, melanocytic nevus, basal cell carcinoma, actinic keratosis, benign keratosis, dermatofibroma, and vascular regions. The ISIC 2019 dataset contains 25,531 training images and 8238 test images divided into nine categories, including melanoma, melanocytic nevus, basal cell carcinoma, actinic keratosis, and benign keratosis, dermatofibroma, vascular regions, and an unknown class. PH2 datasets aimed at melanoma diagnosis and ISIC datasets are biased towards melanocytic lesions. For detailed datasets please visit the site (http://www.fc.up.pt/addi/, accessed on 18 March 2022), and International Skin Imaging Collaboration (ISIC) 2018–2019 archives (http://isic-archive.com,

ISIC 2018数据集包含10015张训练图像与1512张测试图像，涵盖黑色素瘤（melanoma）、黑素细胞痣（melanocytic nevus）、基底细胞癌（basal cell carcinoma）、光化性角化病（actinic keratosis）、良性角化病（benign keratosis）、皮肤纤维瘤（dermatofibroma）与血管区域共7类病变类别。ISIC 2019数据集包含25531张训练图像与8238张测试图像，分为9个类别，除上述7类病变外，额外包含未知类别（unknown class）。PH2数据集以黑色素瘤诊断为核心研究目标，而ISIC系列数据集则存在偏向黑素细胞病变的数据偏倚。如需获取详细的数据集资料，请访问以下站点（http://www.fc.up.pt/addi/，访问日期：2022年3月18日）以及国际皮肤影像协作组（International Skin Imaging Collaboration, ISIC）2018-2019档案库（http://isic-archive.com，）