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Deep convolutional neural network for reduction of contrast-enhanced region on CT images.
Sumida, Iori; Magome, Taiki; Kitamori, Hideki; Das, Indra J; Yamaguchi, Hajime; Kizaki, Hisao; Aboshi, Keiko; Yamashita, Kyohei; Yamada, Yuji; Seo, Yuji; Isohashi, Fumiaki; Ogawa, Kazuhiko.
Afiliación
  • Sumida I; Department of Radiation Oncology, Osaka University Graduate School of Medicine, 2-2 Yamada-oka, Suita, Osaka, Japan.
  • Magome T; Department of Radiological Sciences, Faculty of Health Sciences, Komazawa University, 1-23-1 Komazawa, Setagaya-ku, Tokyo, Japan.
  • Kitamori H; Department of Health Sciences, Graduate School of Medicine Science, Kyusyu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, Japan.
  • Das IJ; Department of Oral and Maxillofacial Radiology, Osaka University Graduate School of Dentistry, 1-8 Yamada-oka Suita, Japan.
  • Yamaguchi H; Department of Radiation Oncology, New York University Langone Medical Center, Laura & Isaac Perlmutter Cancer Center, 160 E 34th Street, New York, NY, USA.
  • Kizaki H; Department of Radiation Oncology, NTT West Osaka hospital, 2-6-40 Karasugatsuji, Tennoji-ku, Osaka, Japan.
  • Aboshi K; Department of Radiation Oncology, NTT West Osaka hospital, 2-6-40 Karasugatsuji, Tennoji-ku, Osaka, Japan.
  • Yamashita K; Department of Radiation Oncology, NTT West Osaka hospital, 2-6-40 Karasugatsuji, Tennoji-ku, Osaka, Japan.
  • Yamada Y; Department of Radiation Oncology, NTT West Osaka hospital, 2-6-40 Karasugatsuji, Tennoji-ku, Osaka, Japan.
  • Seo Y; Department of Radiation Oncology, NTT West Osaka hospital, 2-6-40 Karasugatsuji, Tennoji-ku, Osaka, Japan.
  • Isohashi F; Department of Radiation Oncology, Osaka University Graduate School of Medicine, 2-2 Yamada-oka, Suita, Osaka, Japan.
  • Ogawa K; Department of Radiation Oncology, Osaka University Graduate School of Medicine, 2-2 Yamada-oka, Suita, Osaka, Japan.
J Radiat Res ; 60(5): 586-594, 2019 Oct 23.
Article en En | MEDLINE | ID: mdl-31125068
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Tomografía Computarizada por Rayos X / Redes Neurales de la Computación / Medios de Contraste Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Radiat Res Año: 2019 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Tomografía Computarizada por Rayos X / Redes Neurales de la Computación / Medios de Contraste Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Radiat Res Año: 2019 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Reino Unido