官方服务：
资源简介：
Relation of age to number of lesions.
应用场景：
创建时间：
2015-12-02
相关数据集
Challenge 2018: Task 1-2: Test
Test set from the ISIC 2018 Challenge. The lesion images come from the [HAM10000 Dataset](https://doi.org/10.7910/DVN/DBW86T), and were acquired with a variety of [dermatoscope types](https://dermosco
ISIC Archive API110
skin-gan-review-224x224
该数据集旨在支持基于生成对抗网络（GAN）的皮肤病变图像生成与数据增强方法研究，主要目标是促进皮肤病变图像合成、数据增强以及深度学习模型在皮肤病变分析和计算机辅助诊断方面的改进。资源设计用于支持皮肤病学领域的合成图像生成、类别平衡和数据集扩展的比较研究，有助于开发用于皮肤病变分析的人工智能方法。数据集包含来自多个来源的25个子集（配置），涵盖2至198个类别，并经过预处理和标准化，可直接用于模型训
Hugging Face2026-05-19 更新90
Crowd annotations of visual features for 100 images from the ISIC 2017 lesion classification challenge
This dataset consists of additional images for 100 images from the ISIC 2017 challenge training data. We collected the annotations during a first year undergraduate project course on medical image an
NIAID Data Ecosystem50
Analysis of abnormal epithelial lesions in cervical Pap smears in Mid-Western Nepal
Background: Like in other developing countries, cancer of cervix is one of the most common malignancies in women in Nepal. Most women never undergo a cervical Pap smear screening. The objective of thi
NIAID Data Ecosystem90
Change of classification of lesions from DIR to PSIR (based on lesion type).
[number (percentage)] Each row corresponds to a lesion type seen on DIR, and each column how the same lesion was classified on PSIR. E.g. of the IC lesions so classified on DIR, 60% remained so on PSI
NIAID Data Ecosystem60
