Performance Test of a Well-Trained Model for Meningioma Segmentation in Health Care Centers: Secondary Analysis Based on Four Retrospective Multicenter Data Sets
机构:[1]Neurosurgery Department, West China Hospital, Sichuan University, Chengdu, China.四川大学华西医院[2]Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, China.[3]Institute of High Performance Computing, Agency for Science, Technology and Research, Singapore, Singapore.
This study has received funding from the 1.3.5 Project for Disciplines of Excellence, West China Hospital, Sichuan University
(ZYJC18007); the Knowledge Innovation Program of the Chinese Academy of Sciences (JH2022007); and the General Program
of the National Natural Science Foundation of China (82173175).
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外文
PubmedID:
中科院(CAS)分区:
出版当年[2023]版:
大类|2 区医学
小类|2 区卫生保健与服务2 区医学:信息
最新[2023]版:
大类|2 区医学
小类|2 区卫生保健与服务2 区医学:信息
第一作者:
第一作者机构:[1]Neurosurgery Department, West China Hospital, Sichuan University, Chengdu, China.
通讯作者:
推荐引用方式(GB/T 7714):
Chen Chaoyue,Teng Yuen,Tan Shuo,et al.Performance Test of a Well-Trained Model for Meningioma Segmentation in Health Care Centers: Secondary Analysis Based on Four Retrospective Multicenter Data Sets[J].Journal Of Medical Internet Research.2023,25:e44119.doi:10.2196/44119.
APA:
Chen Chaoyue,Teng Yuen,Tan Shuo,Wang Zizhou,Zhang Lei&Xu Jianguo.(2023).Performance Test of a Well-Trained Model for Meningioma Segmentation in Health Care Centers: Secondary Analysis Based on Four Retrospective Multicenter Data Sets.Journal Of Medical Internet Research,25,
MLA:
Chen Chaoyue,et al."Performance Test of a Well-Trained Model for Meningioma Segmentation in Health Care Centers: Secondary Analysis Based on Four Retrospective Multicenter Data Sets".Journal Of Medical Internet Research 25.(2023):e44119