Fully end-to-end automated bladder segmentation and risk assessment based on bladder morphology features for predicting upper urinary tract dysfunction
基于膀胱形态特征的全端自动化膀胱分割和风险评估,用于预测上尿路功能障碍
期刊:International Journal of Surgery
影响因子:10.1
doi:10.1097/JS9.0000000000003431
Zhou, Zhonghan; Hang, Tianyang; Wu, Juan; Xiang, Tianyu; Zhong, Ping; Liu, Xin; Liu, Gongyue; Ji, Junjie; Liu, Yixi; Liao, Limin