Segmentation of carotid arterial walls using neural networks.

Samber, Daniel D; Ramachandran, Sarayu; Sahota, Anoop; Naidu, Sonum; Pruzan, Alison; Fayad, Zahi A; Mani, Venkatesh

Samber, Daniel D; Ramachandran, Sarayu; Sahota, Anoop; Naidu, Sonum; Pruzan, Alison; Fayad, Zahi A; Mani, Venkatesh.

Afiliación

Samber DD; Translational and Molecular Imaging Institute (TMII), Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States. daniel.samber@mssm.edu.
Ramachandran S; Translational and Molecular Imaging Institute (TMII), Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.
Sahota A; Translational and Molecular Imaging Institute (TMII), Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.
Naidu S; Translational and Molecular Imaging Institute (TMII), Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.
Pruzan A; Translational and Molecular Imaging Institute (TMII), Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.
Fayad ZA; Translational and Molecular Imaging Institute (TMII), Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.
Mani V; Translational and Molecular Imaging Institute (TMII), Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.

World J Radiol ; 12(1): 1-9, 2020 Jan 28.

Article en En | MEDLINE | ID: mdl-31988700

Palabras clave

Carotid arteries; Convolutional neural network; Magnetic resonance imaging; Segmentation; Vessel wall

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: World J Radiol Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

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