MED-NODE

该数据集名为MED-NODE，其标签错误率大约为1%，最多含有2%的不相关样本。在数据清洗后，该数据集的性能指标显示出了显著的降低。其所承担的任务是皮肤病变分类。The dataset is named MED-NODE. Its label error rate is approximately 1%, with up to 2% of its samples being irrelevant. After data cleaning, the performance metrics of this dataset showed a significant decline. The primary task supported by this dataset is skin lesion classification.

搜集汇总

背景与挑战

背景概述

MED-NODE是一个皮肤病学图像数据集，包含170张非皮肤镜图像（70张黑色素瘤和100张痣），来自荷兰格罗宁根大学医学中心，专为开发和测试皮肤癌自动检测系统MED-NODE而设计，用于辅助计算机辅助诊断研究。