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Deep learning model for predicting gestational age after the first trimester using fetal MRI.
Kojita, Yasuyuki; Matsuo, Hidetoshi; Kanda, Tomonori; Nishio, Mizuho; Sofue, Keitaro; Nogami, Munenobu; Kono, Atsushi K; Hori, Masatoshi; Murakami, Takamichi.
Afiliación
  • Kojita Y; Department of Radiology, Kobe University School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan. y.kojita10312@gmail.com.
  • Matsuo H; Department of Radiology, Kobe University School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan.
  • Kanda T; Department of Radiology, Kobe University School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan.
  • Nishio M; Department of Radiology, Kobe University School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan.
  • Sofue K; Department of Radiology, Kobe University School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan.
  • Nogami M; Department of Radiology, Kobe University School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan.
  • Kono AK; Department of Radiology, Kobe University School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan.
  • Hori M; Department of Radiology, Kobe University School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan.
  • Murakami T; Department of Radiology, Kobe University School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan.
Eur Radiol ; 31(6): 3775-3782, 2021 Jun.
Article en En | MEDLINE | ID: mdl-33852048
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Atención Prenatal / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Infant / Pregnancy Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: Japón
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Atención Prenatal / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Infant / Pregnancy Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: Japón