Your browser doesn't support javascript.
loading
Automatic biometry of fetal brain MRIs using deep and machine learning techniques.
She, Jiayan; Huang, Haiying; Ye, Zhijun; Huang, Wei; Sun, Yan; Liu, Chuan; Yang, Weilin; Wang, Jiaxi; Ye, Pengfei; Zhang, Lei; Ning, Gang.
Affiliation
  • She J; Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
  • Huang H; Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, 610065, People's Republic of China.
  • Ye Z; Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
  • Huang W; Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, 610065, People's Republic of China.
  • Sun Y; Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
  • Liu C; Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
  • Yang W; Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
  • Wang J; Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
  • Ye P; Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
  • Zhang L; Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, 610065, People's Republic of China.
  • Ning G; Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, 610041, China. ng6611@163.com.
Sci Rep ; 13(1): 17860, 2023 10 19.
Article in En | MEDLINE | ID: mdl-37857681
Subject(s)
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biometry / Ultrasonography, Prenatal Limits: Female / Humans / Pregnancy Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: China Country of publication: United kingdom
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biometry / Ultrasonography, Prenatal Limits: Female / Humans / Pregnancy Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: China Country of publication: United kingdom