Toward human intervention-free clinical diagnosis of intracranial aneurysm via deep neural network

Toward human intervention-free clinical diagnosis of intracranial aneurysm via deep neural network

Summary: Intracranial aneurysm (IA) is an enormous threat to human health, which often results in nontraumatic subarachnoid hemorrhage or dismal prognosis. Diagnosing IAs on commonly used computed tomographic angiography (CTA) examinations remains laborious and time consuming, leading to error-prone...

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Bibliographic Details
Main Authors: Zi-Hao Bo, Hui Qiao, Chong Tian, Yuchen Guo, Wuchao Li, Tiantian Liang, Dongxue Li, Dan Liao, Xianchun Zeng, Leilei Mei, Tianliang Shi, Bo Wu, Chao Huang, Lu Liu, Can Jin, Qiping Guo, Jun-Hai Yong, Feng Xu, Tijiang Zhang, Rongpin Wang, Qionghai Dai
Format: Article
Language:English
Published: Elsevier 2021-02-01
Series:Patterns
Subjects:
intracranial aneurysm
computer-aided diagnosis
deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2666389920302671

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http://www.sciencedirect.com/science/article/pii/S2666389920302671

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