Temporal-Spatial Feature Extraction of DSA Video and Its Application in AVM Diagnosis

Temporal-Spatial Feature Extraction of DSA Video and Its Application in AVM Diagnosis

Objectives: Brain arteriovenous malformation (AVM) is one of the most common causes of intracranial hemorrhage in young adults, and its expeditious diagnosis on digital subtraction angiography (DSA) is essential for clinical decision-making. This paper firstly proposed a deep learning network to ext...

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Bibliographic Details
Main Authors: Keke Shi, Weiping Xiao, Guoqing Wu, Yang Xiao, Yu Lei, Jinhua Yu, Yuxiang Gu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Neurology
Subjects:
radiomics approach
real-time image
temporal features
Faster-RCNN
digital subtraction angiography
arteriovenous malformation
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2021.655523/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2021.655523/full

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