Deep Learning for Detecting Cerebral Aneurysms with CT Angiography-Reference-Cited by-同舟云学术

Deep Learning for Detecting Cerebral Aneurysms with CT Angiography

Published:2021-01 Issue:1 Volume:298 Page:155-163
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Yang Jiehua^ORCID,Xie Mingfei^ORCID,Hu Canpei^ORCID,Alwalid Osamah^ORCID,Xu Yongchao^ORCID,Liu Jia^ORCID,Jin Teng^ORCID,Li Changde^ORCID,Tu Dandan^ORCID,Liu Xiaowu^ORCID,Zhang Changzheng^ORCID,Li Cixing^ORCID,Long Xi^ORCID

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.2020192154

Reference25 articles.

1. Subarachnoid haemorrhage

2. Intracranial Aneurysms in Patients with Subarachnoid Hemorrhage: CT Angiography as a Primary Examination Tool for Diagnosis—Systematic Review and Meta-Analysis

3. A Multinational Comparison of Subarachnoid Hemorrhage Epidemiology in the WHO MONICA Stroke Study

4. Case-Fatality Rates and Functional Outcome After Subarachnoid Hemorrhage

5. The Natural Course of Unruptured Cerebral Aneurysms in a Japanese Cohort

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