Semantic segmentation guided detector for segmentation, classification, and lesion mapping of acute ischemic stroke in MRI images

BACKGROUND AND PURPOSE: MRI images timely and accurately reflect ischemic injuries to the brain tissues and, therefore, can support clinical decision-making of acute ischemic stroke (AIS). To maximize the information provided by the MRI images, we leverage deep learning models to segment, classify,...

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Detalles Bibliográficos
Autores principales: Wei, Yi-Chia, Huang, Wen-Yi, Jian, Chih-Yu, Hsu, Chih-Chin Heather, Hsu, Chih-Chung, Lin, Ching-Po, Cheng, Chi-Tung, Chen, Yao-Liang, Wei, Hung-Yu, Chen, Kuan-Fu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123273/
https://www.ncbi.nlm.nih.gov/pubmed/35597030
http://dx.doi.org/10.1016/j.nicl.2022.103044

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123273/
https://www.ncbi.nlm.nih.gov/pubmed/35597030
http://dx.doi.org/10.1016/j.nicl.2022.103044

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