Automated detection of glottic laryngeal carcinoma in laryngoscopic images from a multicentre database using a convolutional neural network.

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作者： Peikai,Yan ^[1] ; Shaohua,Li ^[2] ; Zhou,Zhou ^[3] ; Qian,Liu ^[4] ; Jiahui,Wu ^[4] ; Qingyi,Ren ^[1] ; Qiuhuan,Chen ^[1] ; Zhipeng,Chen ^[5] ; Ze,Chen ^[6] ; Shaohua,Chen ^[7] ; Austin,Scholp ^[1] ; Jack J,Jiang ^[8] ; Jing,Kang ^[9] ; Pingjiang,Ge ^[9]

作者单位： Department of Otolaryngology & Head Neck Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China. ^[1] School of Medicine, South China University of Technology, Guangzhou, China. ^[2] Department of Otorhinolaryngology Head and Neck Surgery, Zhongshan Hospital of Traditional Chinese Medicine, Affiliated to Guangzhou University of Chinese Medicine, Guangdong, Zhongshan, Guangdong, China. ^[3] Department of Otolaryngology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China. ^[4] Department of Otolaryngology, Zhaoqing Gaoyao People's Hospital, Zhaoqing, China. ^[5] Department of Otolaryngology, The Second People's Hospital of Longgang District, Shenzhen, China. ^[6] Department of Otolaryngology, Gaozhou People's Hospital, Gaozhou, China. ^[7] Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa, USA. ^[8] Division of Otolaryngology-Head and Neck Surgery, Department of Surgery, School of Medicine and Public Health (A.S.), University of Wisconsin-Madison, Madison, Wisconsin, USA. ^[9]

关键词 artificial intelligence laryngeal carcinoma laryngoscope multicentre study vocal fold lesions