A Robust, Fully Automatic Detection Method and Calculation Technique of Midline Shift in Intracranial Hemorrhage and Its Clinical Application

A midline shift (MLS) is an important clinical indicator for intracranial hemorrhage. In this study, we proposed a robust, fully automatic neural network-based model for the detection of MLS and compared it with MLSs drawn by clinicians; we also evaluated the clinical applications of the fully autom...

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Detalles Bibliográficos
Autores principales: Yan, Jiun-Lin, Chen, Yao-Lian, Chen, Moa-Yu, Chen, Bo-An, Chang, Jiung-Xian, Kao, Ching-Chung, Hsieh, Meng-Chi, Peng, Yi-Ting, Huang, Kuan-Chieh, Chen, Pin-Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947005/
https://www.ncbi.nlm.nih.gov/pubmed/35328245
http://dx.doi.org/10.3390/diagnostics12030693

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947005/
https://www.ncbi.nlm.nih.gov/pubmed/35328245
http://dx.doi.org/10.3390/diagnostics12030693

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