Automated detection of glottic laryngeal carcinoma in laryngoscopic images from a multicentre database using a convolutional neural network
Automated detection of glottic laryngeal carcinoma in laryngoscopic images from a multicentre database using a convolutional neural network
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DOI：
10.1111/coa.14029
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发表时间：
2023-01
影响因子：
2.1
通讯作者：
P. Yan;Shaohua Li;Zhou Zhou-Zhou;Qian Liu;Jiahui Wu;Qingyi Ren;Qiuhuan Chen;Zhipeng Chen;Ze Chen;Shaohua Chen;Austin J Scholp;Jack J. Jiang;Jing Kang;Pingjiang Ge
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文献类型：
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作者：
P. Yan;Shaohua Li;Zhou Zhou-Zhou;Qian Liu;Jiahui Wu;Qingyi Ren;Qiuhuan Chen;Zhipeng Chen;Ze Chen;Shaohua Chen;Austin J Scholp;Jack J. Jiang;Jing Kang;Pingjiang Ge
关于使用人工智能（AI）从不同医院使用多个喉镜系统拍摄的声带病变图像中识别喉癌的有效性知之甚少。本多中心研究旨在建立人工智能系统，为喉癌筛查提供可靠的辅助工具。
Little is known about the efficacy of using artificial intelligence (AI) to identify laryngeal carcinoma from images of vocal lesions taken in different hospitals with multiple laryngoscope systems. This multicentre study aimed to establish an AI system and provide a reliable auxiliary tool to screen for laryngeal carcinoma.