首页|期刊导航|中华医学杂志（英文版）|Deep learning-based, computer-aided classifier developed with dermoscopic images shows comparable performance to 164 dermatologists in cutaneous disease diagnosis in the Chinese population
Deep learning-based, computer-aided classifier developed with dermoscopic images shows comparable performance to 164 dermatologists in cutaneous disease diagnosis in the Chinese population
Shi-Qi Wang Xin-Yuan Zhang Jie Liu Cui Tao Chen-Yu Zhu Chang Shu Tao Xu Hong-Zhong Jin
中华医学杂志（英文版）2020，Vol.133Issue(17)：2027-2036,10.
中华医学杂志（英文版）2020，Vol.133Issue(17)：2027-2036,10.DOI:10.1097/CM9.0000000000001023
Deep learning-based, computer-aided classifier developed with dermoscopic images shows comparable performance to 164 dermatologists in cutaneous disease diagnosis in the Chinese population
Deep learning-based, computer-aided classifier developed with dermoscopic images shows comparable performance to 164 dermatologists in cutaneous disease diagnosis in the Chinese population
摘要
关键词
Artificial intelligence/Convolutional neural network/Skin tumor/Psoriasis/DermoscopyKey words
Artificial intelligence/Convolutional neural network/Skin tumor/Psoriasis/Dermoscopy引用本文复制引用
Shi-Qi Wang,Xin-Yuan Zhang,Jie Liu,Cui Tao,Chen-Yu Zhu,Chang Shu,Tao Xu,Hong-Zhong Jin..Deep learning-based, computer-aided classifier developed with dermoscopic images shows comparable performance to 164 dermatologists in cutaneous disease diagnosis in the Chinese population[J].中华医学杂志（英文版）,2020,133(17):2027-2036,10.基金项目
This work was supported by grants from the Beijing Natural Science Foundation (No.7182127),the National Natural Science Foundation of China (No.61871011),the National Key Research and Development Program of China (No.2016YFC0901500),the Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences (No.2019XK320024),and the CAMS Innovation Fund for Medical Sciences (No.2017-I2M-3-020). （No.7182127）
