Zobrazeno 1 - 4
of 4
pro vyhledávání: '"MingFei Xie"'
Publikováno v:
Frontiers in Neurology, Vol 12 (2021)
Background: Intracranial aneurysm rupture is a devastating medical event with a high morbidity and mortality rate. Thus, timely detection and management are critical. The present study aimed to identify the aneurysm radiomics features associated with
Externí odkaz:
https://doaj.org/article/c31d1d8bf1ad406f92b09b2a28b32c19
Autor:
Hui Meng, ZhaoYin Chen, LanChun Chen, WeiXin Tang, Fang He, XianRang Yan, XiaoHong Lin, XiaoLong Se, MingFei Xie, ZhanHan Li, LiJuan Lu, Xuetao Yu
Publikováno v:
Clinical Toxicology. 61:270-275
Autor:
Yongchao Xu, Mingfei Xie, Cixing Li, Canpei Hu, Osamah Alwalid, Changzheng Zhang, Jia Liu, Teng Jin, Xiaowu Liu, Changde Li, Xi Long, Jiehua Yang, Dandan Tu
Publikováno v:
Radiology, 298(1), 155-163. Radiological Society of North America Inc.
Background Cerebral aneurysm detection is a challenging task. Deep learning may become a supportive tool for more accurate interpretation. Purpose To develop a highly sensitive deep learning-based algorithm that assists in the detection of cerebral a
Publikováno v:
Academic radiology. 29
Intracranial aneurysms present in about 3% of the general population and the number of detected aneurysms is continuously rising with the advances in imaging techniques. Intracranial aneurysm rupture carries a high risk of death or permanent disabili