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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Detalles Bibliográficos
Autores principales: Teng, Linyang, Ren, Qianwei, Zhang, Pingye, Wu, Zhenzhou, Guo, Wei, Ren, Tianhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8188896/
https://www.ncbi.nlm.nih.gov/pubmed/34122038
http://dx.doi.org/10.3389/fnagi.2021.632138

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8188896/
https://www.ncbi.nlm.nih.gov/pubmed/34122038
http://dx.doi.org/10.3389/fnagi.2021.632138

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