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Fetal weight estimation based on deep neural network: a retrospective observational study.
Wang, Yifei; Shi, Yi; Zhang, Chenjie; Su, Kaizhen; Hu, Yixiao; Chen, Lei; Wu, Yanting; Huang, Hefeng.
Afiliación
  • Wang Y; International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.
  • Shi Y; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, 200030, China.
  • Zhang C; Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, Shanghai, 200030, China.
  • Su K; International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.
  • Hu Y; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, 200030, China.
  • Chen L; International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.
  • Wu Y; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, 200030, China.
  • Huang H; Department of Mathematical Sciences, Tsinghua University, Beijing, 100084, China.
BMC Pregnancy Childbirth ; 23(1): 560, 2023 Aug 02.
Article en En | MEDLINE | ID: mdl-37533038

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Ultrasonografía Prenatal / Peso Fetal Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Límite: Child / Female / Humans / Pregnancy Idioma: En Revista: BMC Pregnancy Childbirth Asunto de la revista: OBSTETRICIA Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Ultrasonografía Prenatal / Peso Fetal Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Límite: Child / Female / Humans / Pregnancy Idioma: En Revista: BMC Pregnancy Childbirth Asunto de la revista: OBSTETRICIA Año: 2023 Tipo del documento: Article País de afiliación: China