OEDL: an optimized ensemble deep learning method for the prediction of acute ischemic stroke prognoses using union features

BackgroundEarly stroke prognosis assessments are critical for decision-making regarding therapeutic intervention. We introduced the concepts of data combination, method integration, and algorithm parallelization, aiming to build an integrated deep learning model based on a combination of clinical an...

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Podrobná bibliografie

Hlavní autoři:	Wei Ye, Xicheng Chen, Pengpeng Li, Yongjun Tao, Zhenyan Wang, Chengcheng Gao, Jian Cheng, Fang Li, Dali Yi, Zeliang Wei, Dong Yi, Yazhou Wu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2023-06-01
Edice:	Frontiers in Neurology
Témata:	MRI radiomics deep learning ensemble learning metaheuristic algorithms ischemic stroke
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fneur.2023.1158555/full
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