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Using deep-learning algorithms to classify fetal brain ultrasound images as normal or abnormal.
Xie, H N; Wang, N; He, M; Zhang, L H; Cai, H M; Xian, J B; Lin, M F; Zheng, J; Yang, Y Z.
Afiliación
  • Xie HN; Department of Ultrasonic Medicine, Fetal Medical Center, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
  • Wang N; Guangzhou Aiyunji Information Technology Co., Ltd, Guangdong, China.
  • He M; Department of Ultrasonic Medicine, Fetal Medical Center, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
  • Zhang LH; Department of Ultrasonic Medicine, Fetal Medical Center, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
  • Cai HM; School of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China.
  • Xian JB; Guangzhou Aiyunji Information Technology Co., Ltd, Guangdong, China.
  • Lin MF; School of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China.
  • Zheng J; Department of Ultrasonic Medicine, Fetal Medical Center, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
  • Yang YZ; Department of Ultrasonic Medicine, Fetal Medical Center, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Ultrasound Obstet Gynecol ; 56(4): 579-587, 2020 10.
Article en En | MEDLINE | ID: mdl-31909548
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Ultrasonografía Prenatal / Feto / Aprendizaje Profundo / Malformaciones del Sistema Nervioso Tipo de estudio: Diagnostic_studies / Evaluation_studies / Prognostic_studies Límite: Female / Humans / Pregnancy Idioma: En Revista: Ultrasound Obstet Gynecol Asunto de la revista: DIAGNOSTICO POR IMAGEM / GINECOLOGIA / OBSTETRICIA Año: 2020 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Ultrasonografía Prenatal / Feto / Aprendizaje Profundo / Malformaciones del Sistema Nervioso Tipo de estudio: Diagnostic_studies / Evaluation_studies / Prognostic_studies Límite: Female / Humans / Pregnancy Idioma: En Revista: Ultrasound Obstet Gynecol Asunto de la revista: DIAGNOSTICO POR IMAGEM / GINECOLOGIA / OBSTETRICIA Año: 2020 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido