BIBSNet: A Deep Learning Baby Image Brain Segmentation Network for MRI Scans

OBJECTIVES: Brain segmentation of infant magnetic resonance (MR) images is vitally important in studying developmental mental health and disease. The infant brain undergoes many changes throughout the first years of postnatal life, making tissue segmentation difficult for most existing algorithms. H...

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Detalles Bibliográficos
Autores principales: Hendrickson, Timothy J., Reiners, Paul, Moore, Lucille A., Perrone, Anders J., Alexopoulos, Dimitrios, Lee, Erik G., Styner, Martin, Kardan, Omid, Chamberlain, Taylor A., Mummaneni, Anurima, Caldas, Henrique A., Bower, Brad, Stoyell, Sally, Martin, Tabitha, Sung, Sooyeon, Fair, Ermias, Uriarte-Lopez, Jonathan, Rueter, Amanda R., Yacoub, Essa, Rosenberg, Monica D., Smyser, Christopher D., Elison, Jed T., Graham, Alice, Fair, Damien A., Feczko, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055337/
https://www.ncbi.nlm.nih.gov/pubmed/36993540
http://dx.doi.org/10.1101/2023.03.22.533696

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055337/
https://www.ncbi.nlm.nih.gov/pubmed/36993540
http://dx.doi.org/10.1101/2023.03.22.533696

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