A deep learning algorithm for detection of oral cavity squamous cell carcinoma from photographic images: A retrospective study

eClinicalMedicine - Tập 27 - Trang 100558 - 2020
Qiuyun Fu1, Yehansen Chen2, Zhihang Li2, Qianyan Jing2, Chuanyu Hu3, Han Liu2, Jiahao Bao2, Yuming Hong2, Ting Shi4, Kaixiong Li1, Haixiao Zou5, Yong Song6, Hengkun Wang7, Xiqian Wang8, Yufan Wang9, Jianying Liu10, Hui Liu11, Sulin Chen12, Ruibin Chen13, Man Zhang14
1Department of Oral and Maxillofacial Surgery, School and Hospital of Stomatology, Wuhan University, Wuhan, Hubei 430079, China
2School of Geography and Information Engineering, China University of Geosciences, Wuhan, China
3Center of Stomatology, Tongji Hospital, Tongji medical College, Huazhong University of Science and Technology, Wuhan, China
4School of Information Engineering, Wuhan Huaxia University of Technology, Wuhan, China
5Department of Stomatology, the Second Affiliated Hospital of Nanchang University, Nanchang, China
6Department of Stomatology, Liuzhou People's Hospital, Liuzhou, China
7Department of Stomatology, Weihai Municipal Hospital, Weihai, China
8Oral Medical Center, Henan Provincial People's Hospital, School of Clinical Medicine, Henan University, Zhengzhou, China
9Department of Oral and Maxillofacial Surgery, Peking University Shenzhen Hospital, Shenzhen, China
10Department of Stomatology, the People's Hospital of Zhengzhou, Zhengzhou, China
11Department of Oral and Maxillofacial Surgery, Shanghai Stomatological Hospital, Fudan University, Shanghai, China
12Department of Oral Implantology, School and Hospital of Stomatology, Fujian Medical University, Fuzhou, China
13Department of Oral Mucosal Diseases, Xiamen Key Laboratory of Stomatological Disease Diagnosis and Treatment, Stomatological Hospital of Xiamen Medical College, Xiamen, China
14Department of Orthodontics, Hubei-MOST KLOS and KLOBM, School and Hospital of Stomatology, Wuhan University, Wuhan, China

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