Recognition of Clinical Skin Disease Images

SD-198 is an image dataset for automatic recognition and diagnosis of skin diseases. It contains 198 skin diseases and 6,584 clinical images, which are collected by digital cameras and mobile phones. The images are various in color, exposure, illumination and scale. Moreover, images in our dataset cover a lot of situations for patients such as age (child, adult, old), sex, disease site (hand, feet, head, nails), color of skin(white, yellow, brown, black) and different periods of lesions(early, middle, late). We also choose the classes with more than 20 image samples as a subset, namely SD-128, which contains 5,619 images.

 

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The Readme file explains everything. For more information about our work and dataset, please drop us an email (xpwu95@163.com, sunxiaoxiaozrt@163.com).

 

Datasets Presentation

 

Publications

Joint Acne Image Grading and Counting via Label Distribution Learning

Xiaoping Wu*, Ni Wen*, Jie Liang, Yu-Kun Lai, Dongyu She, Ming-Ming Cheng and Jufeng Yang

IEEE International Conference on Computer Vision (ICCV), 2019

[pdf] [bib] [project]


Self-paced Balance Learning for Clinical Skin Disease Recognition

Jufeng Yang, Xiaoping Wu, Jie Liang, Xiaoxiao Sun, Ming-Ming Cheng, Paul L. Rosin and Liang Wang

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019

[pdf] [bib]


Recognition from Web Data: A Progressive Filtering Approach

Jufeng Yang, Xiaoxiao Sun, Yu-Kun Lai, Liang Zheng, Ming-Ming Cheng

IEEE Transactions on Image Processing (TIP), 2018

[pdf] [bib]


Clinical Skin Lesion Diagnosis using Representations Inspired by Dermatologist Criteria

Jufeng Yang, Xiaoxiao Sun, Jie Liang, Paul L. Rosin

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018

[pdf] [bib]


A Benchmark for Automatic Visual Calssification of Clinical Skin Disease Images

Xiaoxiao Sun, Jufeng Yang, Ming Sun, Kai Wang

European Conference on Computer Vision (ECCV), 2016

[pdf] [bib]