Fetal Cortical Plate Segmentation Using Fully Convolutional Networks With Multiple Plane Aggregation

Fetal magnetic resonance imaging (MRI) has the potential to advance our understanding of human brain development by providing quantitative information of cortical plate (CP) development in vivo. However, for a reliable quantitative analysis of cortical volume and sulcal folding, accurate and automat...

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Detalles Bibliográficos
Autores principales: Hong, Jinwoo, Yun, Hyuk Jin, Park, Gilsoon, Kim, Seonggyu, Laurentys, Cynthia T., Siqueira, Leticia C., Tarui, Tomo, Rollins, Caitlin K., Ortinau, Cynthia M., Grant, P. Ellen, Lee, Jong-Min, Im, Kiho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738480/
https://www.ncbi.nlm.nih.gov/pubmed/33343286
http://dx.doi.org/10.3389/fnins.2020.591683

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738480/
https://www.ncbi.nlm.nih.gov/pubmed/33343286
http://dx.doi.org/10.3389/fnins.2020.591683

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