Fetal Pose Estimation in Volumetric MRI using a 3D Convolution Neural Network.

Xu, Junshen; Zhang, Molin; Turk, Esra Abaci; Zhang, Larry; Grant, Ellen; Ying, Kui; Golland, Polina; Adalsteinsson, Elfar

Xu, Junshen; Zhang, Molin; Turk, Esra Abaci; Zhang, Larry; Grant, Ellen; Ying, Kui; Golland, Polina; Adalsteinsson, Elfar.

Afiliación

Xu J; Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA.
Zhang M; Department of Engineering Physics, Tsinghua University, Beijing, China.
Turk EA; Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Childrens Hospital, Boston, MA, USA.
Zhang L; Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA.
Grant E; Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Childrens Hospital, Boston, MA, USA.
Ying K; Harvard Medical School, Boston, MA, USA.
Golland P; Department of Engineering Physics, Tsinghua University, Beijing, China.
Adalsteinsson E; Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA.

Med Image Comput Comput Assist Interv ; 11767: 403-410, 2019 Oct.

Article en En | MEDLINE | ID: mdl-32494782

Palabras clave

Convolutional neural network (CNN); Deep learning; Fetal magnetic resonance imaging (MRI); Pose estimation

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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Med Image Comput Comput Assist Interv Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

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