Development and validation of deep learning-based automatic brain segmentation for East Asians: A comparison with Freesurfer

PURPOSE: To develop and validate deep learning-based automatic brain segmentation for East Asians with comparison to data for healthy controls from Freesurfer based on a ground truth. METHODS: A total of 30 healthy participants were enrolled and underwent T1-weighted magnetic resonance imaging (MRI)...

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Detalles Bibliográficos
Autores principales: Moon, Chung-Man, Lee, Yun Young, Hyeong, Ki-Eun, Yoon, Woong, Baek, Byung Hyun, Heo, Suk-Hee, Shin, Sang-Soo, Kim, Seul Kee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10213324/
https://www.ncbi.nlm.nih.gov/pubmed/37250408
http://dx.doi.org/10.3389/fnins.2023.1157738

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10213324/
https://www.ncbi.nlm.nih.gov/pubmed/37250408
http://dx.doi.org/10.3389/fnins.2023.1157738

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