Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging.

To, Minh Nguyen Nhat; Vu, Dang Quoc; Turkbey, Baris; Choyke, Peter L; Kwak, Jin Tae

To, Minh Nguyen Nhat; Vu, Dang Quoc; Turkbey, Baris; Choyke, Peter L; Kwak, Jin Tae.

Afiliação

To MNN; Department of Computer Science and Engineering, Sejong University, Seoul, 05006, South Korea.
Vu DQ; Department of Computer Science and Engineering, Sejong University, Seoul, 05006, South Korea.
Turkbey B; Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
Choyke PL; Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
Kwak JT; Department of Computer Science and Engineering, Sejong University, Seoul, 05006, South Korea. jkwak@sejong.ac.kr.

Int J Comput Assist Radiol Surg ; 13(11): 1687-1696, 2018 Nov.

Article em En | MEDLINE | ID: mdl-30088208

Assuntos

Imageamento Tridimensional/métodos; Imageamento por Ressonância Magnética/métodos; Redes Neurais de Computação; Próstata/diagnóstico por imagem; Humanos; Masculino

Palavras-chave

Deep learning; Dense connections; Grouped convolution; Magnetic resonance imaging; Prostate segmentation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Próstata / Imageamento por Ressonância Magnética / Redes Neurais de Computação / Imageamento Tridimensional Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Humans / Male Idioma: En Ano de publicação: 2018 Tipo de documento: Article

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