Artificial Intelligence Can Effectively Predict Early Hematoma Expansion of Intracerebral Hemorrhage Analyzing Noncontrast Computed Tomography Image

Artificial Intelligence Can Effectively Predict Early Hematoma Expansion of Intracerebral Hemorrhage Analyzing Noncontrast Computed Tomography Image

This study aims to develop and validate an artificial intelligence model based on deep learning to predict early hematoma enlargement (HE) in patients with intracerebral hemorrhage. A total of 1,899 noncontrast computed tomography (NCCT) images of cerebral hemorrhage patients were retrospectively an...

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Bibliographic Details
Main Authors: Linyang Teng, Qianwei Ren, Pingye Zhang, Zhenzhou Wu, Wei Guo, Tianhua Ren
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Aging Neuroscience
Subjects:
predict
hematoma expansion
convolutional neural network
artificial intelligence
intracerebral hematoma
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2021.632138/full

Internet

https://www.frontiersin.org/articles/10.3389/fnagi.2021.632138/full

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