该数据集包含图像和标签两种特征，标签分为三类：melanoma（黑色素瘤）、nevus（痣）和nmsc（非黑色素瘤皮肤癌）。数据集分为训练集、验证集和测试集三个部分，分别包含33377、3709和9272个样本。数据集的下载大小为12160139470字节，总大小为28528756145.937字节。

Hugging Face2024-06-14 更新40

The mean accuracy of classifying lesions presented in the images in each set (i.e., protanope, deuteranope, tritanope simulated images and non-simulated images) as either benign or malignant lesions.

皮肤病变分类

色盲模拟诊断

As well as, the mean difference in classification accuracy between images containing benign and malignant lesions.

NIAID Data Ecosystem30

HAM10000 under sampled

皮肤病变分类

不平衡数据处理

Under sampled the majority class of HAM10000 dataset for better data balance

kaggle2024-06-01 更新80

Longitudinal_Tile_Dermoscopic

皮肤癌纵向监测

皮肤镜图像分析

Here we present a dataset derived from two longitudinal studies on general (n=196) and high-risk populations (n=284). The dataset includes longitudinal images of pigmented lesions extracted from 3 Dim

Research Data Australia40

isic2024-png-224-text-token-777

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