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DeepGA for automatically estimating fetal gestational age through ultrasound imaging.
Dan, Tingting; Chen, Xijie; He, Miao; Guo, Hongmei; He, Xiaoqin; Chen, Jiazhou; Xian, Jianbo; Hu, Yu; Zhang, Bin; Wang, Nan; Xie, Hongning; Cai, Hongmin.
Affiliation
  • Dan T; School of Computer Science and Engineering, South China University of Technology, Guangzhou, China.
  • Chen X; School of Computer Science and Engineering, South China University of Technology, Guangzhou, China.
  • He M; The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Guo H; Dongguan City Maternal and Child Health Hospital, Dongguan, China.
  • He X; Women and Children's Hospital, School of Medicine, Xiamen University, China.
  • Chen J; School of Computer Science and Engineering, South China University of Technology, Guangzhou, China.
  • Xian J; Guangzhou Aiyunji Information Technology Co., Ltd., Guangzhou, China.
  • Hu Y; School of Computer Science and Engineering, South China University of Technology, Guangzhou, China.
  • Zhang B; School of Computer Science and Engineering, South China University of Technology, Guangzhou, China.
  • Wang N; Guangzhou Aiyunji Information Technology Co., Ltd., Guangzhou, China.
  • Xie H; The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. Electronic address: xiehn@mail.sysu.edu.cn.
  • Cai H; School of Computer Science and Engineering, South China University of Technology, Guangzhou, China. Electronic address: hmcai@scut.edu.cn.
Artif Intell Med ; 135: 102453, 2023 01.
Article in En | MEDLINE | ID: mdl-36628790
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Ultrasonography, Prenatal Type of study: Diagnostic_studies / Prognostic_studies Limits: Female / Humans / Pregnancy Language: En Journal: Artif Intell Med Journal subject: INFORMATICA MEDICA Year: 2023 Document type: Article Affiliation country: China Country of publication: Netherlands
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Ultrasonography, Prenatal Type of study: Diagnostic_studies / Prognostic_studies Limits: Female / Humans / Pregnancy Language: En Journal: Artif Intell Med Journal subject: INFORMATICA MEDICA Year: 2023 Document type: Article Affiliation country: China Country of publication: Netherlands