Deep-learning tool for early identification of non-traumatic intracranial hemorrhage etiology and application in clinical diagnostics based on computed tomography (CT) scans

Deep-learning tool for early identification of non-traumatic intracranial hemorrhage etiology and application in clinical diagnostics based on computed tomography (CT) scans

Background To develop an artificial intelligence system that can accurately identify acute non-traumatic intracranial hemorrhage (ICH) etiology (aneurysms, hypertensive hemorrhage, arteriovenous malformation (AVM), Moyamoya disease (MMD), cavernous malformation (CM), or other causes) based on non-co...

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Bibliographic Details
Main Authors: Meng Zhao, Wenjie Li, Yifan Hu, Ruixuan Jiang, Yuanli Zhao, Dong Zhang, Yan Zhang, Rong Wang, Yong Cao, Qian Zhang, Yonggang Ma, Jiaxi Li, Shaochen Yu, Ran Zhang, Yefeng Zheng, Shuo Wang, Jizong Zhao
Format: Article
Language:English
Published: PeerJ Inc. 2025-02-01
Series:PeerJ
Subjects:
Deep learning
Intracranial hemorrhage
CT scan
Etiology
Online Access:https://peerj.com/articles/18850.pdf
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