Automatic CT liver Couinaud segmentation based on key bifurcation detection with attentive residual hourglass-based cascaded network.

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第一作者： Manyang,Wang

第一单位： School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.

作者： Manyang,Wang ^[1] ; Renchao,Jin ^[2] ; Jiayi,Lu ^[1] ; Enmin,Song ^[1] ; Guangzhi,Ma ^[1]

作者单位： School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China. ^[1] School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China. Electronic address: jrc@hust.edu.cn. ^[2]

关键词 Attentive residual mechanism Couinaud segmentation Hourglass network Key point detection

主题词腹部(Abdomen);算法(Algorithms);疾病恶化(Disease Progression);人类(Humans);图像处理, 计算机辅助(Image Processing, Computer-Assisted);肝(Liver);体层摄影术, X线计算机(Tomography, X-Ray Computed)

DOI 10.1016/j.compbiomed.2022.105363

PMID 35290810

发布时间 2022-05-09

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