ISIC Challenge 2018 Dataset

The authors of the ISIC Challenge 2018: International Skin Imaging Collaboration Challenge 2018 dataset emphasize that skin cancer, being the most prevalent form of cancer, poses challenges in early detection due to visual similarities with benign lesions. The challenge discussed in their workshop represents the latest iteration of the largest automated skin cancer recognition challenge within the community. Hosted by the International Skin Imaging Collaboration (ISIC), the challenge was aimed to advance methods for segmentation, clinical attribute detection, and disease classification in dermoscopic images. In collaboration with the machine learning challenge, the authors planned to execute a significant reader study focused on disease diagnosis.

ISIC Challenge 2018（《国际皮肤影像协作挑战赛2018》）的作者们强调，由于皮肤癌与良性病变在视觉上的相似性，作为最常见的癌症类型，皮肤癌的早期检测面临着诸多挑战。他们在研讨会上讨论的挑战赛代表了社区内规模最大的自动化皮肤癌识别挑战的最新版本。由国际皮肤影像协作组织（ISIC）主办的此次挑战赛旨在推进皮肤镜图像的分割、临床特征检测以及疾病分类方法的发展。与机器学习挑战赛的合作中，作者们计划执行一项针对疾病诊断的重要读者研究。