Your browser doesn't support javascript.
loading
An automated framework for image classification and segmentation of fetal ultrasound images for gestational age estimation.
Prieto, Juan C; Shah, Hina; Rosenbaum, Alan J; Jiang, Xiaoning; Musonda, Patrick; Price, Joan T; Stringer, Elizabeth M; Vwalika, Bellington; Stamilio, David M; Stringer, Jeffrey S A.
Affiliation
  • Prieto JC; Department of Psychiatry, University of North Carolina at Chapel Hill.
  • Shah H; Department of Psychiatry, University of North Carolina at Chapel Hill.
  • Rosenbaum AJ; Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill.
  • Jiang X; Department of Mechanical and Aerospace Engineering, North Carolina State University.
  • Musonda P; School of Public Health, University of Zambia.
  • Price JT; Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill.
  • Stringer EM; Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill.
  • Vwalika B; Department of Obstetrics and Gynaecology, University of Zambia School of Medicine.
  • Stamilio DM; Department of Obstetrics and Gynecology, Wake Forest University School of Medicine.
  • Stringer JSA; Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill.
Proc SPIE Int Soc Opt Eng ; 115962021 Feb.
Article in En | MEDLINE | ID: mdl-33935344
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Proc SPIE Int Soc Opt Eng Year: 2021 Document type: Article Country of publication:
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Proc SPIE Int Soc Opt Eng Year: 2021 Document type: Article Country of publication: