Fetal cortical plate segmentation using fully convolutional networks with multiple plane aggregation
Journal
Frontiers in Neuroscience
Publication Date
1-1-2020
Volume
14
First Page
591683
Document Type
Open Access Publication
DOI
10.3389/fnins.2020.591683
Rights and Permissions
Hong J, Yun HJ, Park G, Kim S, Laurentys CT, Siqueira LC, Tarui T, Rollins CK, Ortinau CM, Grant PE, Lee J-M and Im K (2020) Fetal Cortical Plate Segmentation Using Fully Convolutional Networks With Multiple Plane Aggregation. Front. Neurosci. 14:591683. doi: 10.3389/fnins.2020.591683 © 2020 Hong, Yun, Park, Kim, Laurentys, Siqueira, Tarui, Rollins, Ortinau, Grant, Lee and Im. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Recommended Citation
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; and Im, Kiho, "Fetal cortical plate segmentation using fully convolutional networks with multiple plane aggregation." Frontiers in Neuroscience. 14, 591683 (2020).
https://digitalcommons.wustl.edu/open_access_pubs/9993
Supplementary material
