Efficiency of a deep learning-based artificial intelligence diagnostic system in spontaneous intracerebral hemorrhage volume measurement

BACKGROUND: Accurate measurement of hemorrhage volume is critical for both the prediction of prognosis and the selection of appropriate clinical treatment after spontaneous intracerebral hemorrhage (ICH). This study aimed to evaluate the performance and accuracy of a deep learning-based automated se...

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Detalles Bibliográficos
Autores principales: Wang, Tao, Song, Na, Liu, Lingling, Zhu, Zichao, Chen, Bing, Yang, Wenjun, Chen, Zhiqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8364089/
https://www.ncbi.nlm.nih.gov/pubmed/34388981
http://dx.doi.org/10.1186/s12880-021-00657-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8364089/
https://www.ncbi.nlm.nih.gov/pubmed/34388981
http://dx.doi.org/10.1186/s12880-021-00657-6

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