Split-Attention U-Net: A Fully Convolutional Network for Robust Multi-Label Segmentation from Brain MRI

Multi-label brain segmentation from brain magnetic resonance imaging (MRI) provides valuable structural information for most neurological analyses. Due to the complexity of the brain segmentation algorithm, it could delay the delivery of neuroimaging findings. Therefore, we introduce Split-Attention...

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Detalles Bibliográficos
Autores principales: Lee, Minho, Kim, JeeYoung, EY Kim, Regina, Kim, Hyun Gi, Oh, Se Won, Lee, Min Kyoung, Wang, Sheng-Min, Kim, Nak-Young, Kang, Dong Woo, Rieu, ZunHyan, Yong, Jung Hyun, Kim, Donghyeon, Lim, Hyun Kook
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7764312/
https://www.ncbi.nlm.nih.gov/pubmed/33322640
http://dx.doi.org/10.3390/brainsci10120974

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7764312/
https://www.ncbi.nlm.nih.gov/pubmed/33322640
http://dx.doi.org/10.3390/brainsci10120974

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