R-JaunLab: Automatic Multi-Class Recognition of Jaundice on Photos of Subjects with Region Annotation Networks.

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作者： Zheng,Wang ^[1] ; Ying,Xiao ^[2] ; Futian,Weng ^[3] ; Xiaojun,Li ^[1] ; Danhua,Zhu ^[3] ; Fanggen,Lu ^[4] ; Xiaowei,Liu ^[5] ; Muzhou,Hou ^[3] ; Yu,Meng ^[6]

作者单位： School of Mathematics and Statistics, Central South University, Changsha, Hunan, 410083, China. ^[1] Science and Engineering School, Hunan First Normal University, Changsha, 410205, China. ^[2] Gastroenterology Department of Xiangya Hospital, Central South University, Changsha, 410083, China. ^[3] Department of Gastroenterology, Hunan Provincial People's Hospital, Changsha, 410002, China. ^[4] The Second Xiangya Hospital, Central South University, 410083, Changsha, China. ^[5] School of Mathematics and Statistics, Central South University, Changsha, Hunan, 410083, China. houmuzhou@sina.com. ^[6] Department of Gastroenterology and Hepatology, Shenzhen University General Hospital, Shenzhen, 518055, China. mengyu1981@163.com. ^[7]

关键词 Convolutional Neural Network (CNN)Occult Jaundice Region Annotation Network (RAN)Total Serum Bilirubin (TBil)

主题词人类(Humans);黄疸(Jaundice)

DOI 10.1007/s10278-021-00432-7

PMID 33634415

发布时间 2022-04-02

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