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The application of artificial intelligence to support biliary atresia screening by ultrasound images: A study based on deep learning models.
Hsu, Fang-Rong; Dai, Sheng-Tong; Chou, Chia-Man; Huang, Sheng-Yang.
Afiliación
  • Hsu FR; Department of Information Engineering and Computer Science, Feng Chia University, Taichung City, Taiwan.
  • Dai ST; Department of Information Engineering and Computer Science, Feng Chia University, Taichung City, Taiwan.
  • Chou CM; Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli County, Taiwan.
  • Huang SY; Division of Pediatric Surgery, Department of Surgery, Taichung Veterans General Hospital, Taichung City, Taiwan.
PLoS One ; 17(10): e0276278, 2022.
Article en En | MEDLINE | ID: mdl-36260613
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Atresia Biliar / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Child / Humans / Infant Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Taiwán
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Atresia Biliar / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Child / Humans / Infant Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Taiwán