Automatic segmentation of all lower limb muscles from high-resolution magnetic resonance imaging using a cascaded three-dimensional deep convolutional neural network.

Ni, Renkun; Meyer, Craig H; Blemker, Silvia S; Hart, Joseph M; Feng, Xue

Ni, Renkun; Meyer, Craig H; Blemker, Silvia S; Hart, Joseph M; Feng, Xue.

Afiliación

Ni R; Springbok, Inc., Charlottesville, Virginia, United States.
Meyer CH; University of Virginia, Department of Biomedical Engineering, Charlottesville, Virginia, United States.
Blemker SS; University of Virginia, Department of Biomedical Engineering, Charlottesville, Virginia, United States.
Hart JM; University of Virginia, Department of Kinesiology, Charlottesville, Virginia, United States.
Feng X; Springbok, Inc., Charlottesville, Virginia, United States.

J Med Imaging (Bellingham) ; 6(4): 044009, 2019 Oct.

Article en En | MEDLINE | ID: mdl-31903406

Palabras clave

3-D segmentation; cascaded network; deep convolutional neural network; lower limb muscle segmentation; magnetic resonance imaging

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Med Imaging (Bellingham) Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

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