Deep learning-based fully automated diagnosis of melanocytic lesions by using whole slide images-Reference-Cited by-同舟云学术

Deep learning-based fully automated diagnosis of melanocytic lesions by using whole slide images

Author:

Bao Yongyang¹,Zhang Jiayi²,Zhao Xingyu²,Zhou Henghua¹,Chen Ying¹,Jian Junming²,Shi Tianlei²,Gao Xin²³^ORCID

Affiliation:

1. Shanghai Ninth People’s Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China

2. Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, China

3. Jinan Guoke Medical Engineering, Technology Development Co., Ltd, Jinan, Shandong, China

Funder

Scientific Research Project of Shanghai Municipal Health Commission

Cross Research Fund Project of Shanghai Ninth People’s Hospital

Shanghai JiaoTong University School of Medicine

National Natural Science Foundation of China

Shandong Province Natural Science Foundation

Jiangsu Province Engineering Research Center of Diagnosis and Treatment of Children's Malignant Tumor

Publisher

Informa UK Limited

Subject

Dermatology

Link

Reference46 articles.

2. Foundation SC. Skin cancer facts & statistics. 2016.

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