Texture Feature-Based Machine Learning Classification on MRI Image for Sepsis-Associated Encephalopathy Detection: A Pilot Study

OBJECTIVE: The objective of this study was to assess the performance of combining MRI-based texture analysis with machine learning for differentiating sepsis-associated encephalopathy (SAE) from sepsis alone. METHOD: Sixty-six MRI-T1WI images of an SAE patient and 125 images of patients with sepsis...

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Detalles Bibliográficos
Autores principales: Mo, Xiao, Xiong, Xin, Wang, Yijie, Gu, Heyi, Yang, Yuhang, He, Jianfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911249/
https://www.ncbi.nlm.nih.gov/pubmed/36778786
http://dx.doi.org/10.1155/2023/6403556

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911249/
https://www.ncbi.nlm.nih.gov/pubmed/36778786
http://dx.doi.org/10.1155/2023/6403556

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