A comparative analysis of deep learning-based quantitative hemorrhagic CT parameters versus traditional semiquantitative CT scores for predicting delayed cerebral ischemia in aneurysmal subarachnoid hemorrhage: a multicenter cohort study
Li Tu(Capital Medical University), Xiaolin Chen(Chinese Academy of Sciences), Jun Yang(Peking University), Heze Han(Capital Medical University), Fa Lin(Capital Medical University), Yunfan Zhou(Capital Medical University), Ling Liu(University of Electronic Science and Technology of China), Yu Chen, Ke Wang(Capital Medical University), Yitong Jia(Capital Medical University), Yanan Liu(Chinese Academy of Agricultural Sciences), Jian Huang(Linyi People's Hospital), Weiwei Wang(Fujian Medical University), Tengfei Yu(Capital Medical University), Tze Kin Lau(Hong Kong Observatory), Zhenshan Song(Capital Medical University), Runting Li(Capital Medical University)
Cited by 0
Related Papers
<scp>ISUOG</scp> Practice Guidelines: performance of first‐trimester fetal ultrasound scan
|Ultrasound in Obstetrics and Gynecology|2012|619
Functional markers in wheat: current status and future prospects
|Theoretical and Applied Genetics|2012|245
Differentiation of glioblastoma from solitary brain metastases using radiomic machine-learning classifiers
|Cancer Letters|2019|195
Fetal biometry in ethnic Chinese: biparietal diameter, head circumference, abdominal circumference and femur length
|Ultrasound in Obstetrics and Gynecology|2008|136