VisioMel

该数据集用于检测原发性黑色素瘤复发的数据集，包含了1342个案例，呈现出高度不平衡的特点。训练集被按照9:1的比例划分为训练集和验证集；测试集目前尚未发布。该数据集的规模为1342个案例，所面临的任务是检测原发性黑色素瘤的复发。

This dataset is designed for detecting the recurrence of primary melanoma, containing 1342 cases and exhibiting highly imbalanced characteristics. The training set is split into training and validation subsets at a 9:1 ratio; the test set has not been released so far. With a total of 1342 cases, the core task of this dataset is to detect the recurrence of primary melanoma.