A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI

Dou, H orcid.org/0000-0001-8628-5489, Karimi, D, Rollins, CK et al. (7 more authors) (2021) A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI. IEEE Transactions on Medical Imaging, 40 (4). pp. 1123-1133. ISSN 0278-0062

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Copyright, Publisher and Additional Information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Cortical plate, automatic segmentation, fetal MRI, deep learning, convolutional neural network, attention
Dates:
  • Accepted: 13 December 2020
  • Published (online): 22 December 2020
  • Published: April 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 08 Nov 2021 10:18
Last Modified: 26 Nov 2021 09:22
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Identification Number: https://doi.org/10.1109/tmi.2020.3046579

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