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Automatic Segmentation of Uterine Cavity and Placenta on MR Images Using Deep Learning.
Shahedi, Maysam; Dormer, James D; Do, Quyen N; Xi, Yin; Lewis, Matthew A; Herrera, Christina L; Spong, Catherine Y; Madhuranthakam, Ananth J; Twickler, Diane M; Fei, Baowei.
Afiliación
  • Shahedi M; Department of Bioengineering, The University of Texas at Dallas, TX.
  • Dormer JD; Center for Imaging and Surgical Innovation, The University of Texas at Dallas, TX.
  • Do QN; Department of Bioengineering, The University of Texas at Dallas, TX.
  • Xi Y; Center for Imaging and Surgical Innovation, The University of Texas at Dallas, TX.
  • Lewis MA; Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX.
  • Herrera CL; Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX.
  • Spong CY; Department of Clinical Science, The University of Texas Southwestern Medical Center, Dallas, TX.
  • Madhuranthakam AJ; Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX.
  • Twickler DM; Department of Obstetrics and Gynecology, The University of Texas Southwestern Medical Center, Dallas, TX.
  • Fei B; Department of Obstetrics and Gynecology, The University of Texas Southwestern Medical Center, Dallas, TX.
Proc SPIE Int Soc Opt Eng ; 120362022.
Article en En | MEDLINE | ID: mdl-36798450
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: Proc SPIE Int Soc Opt Eng Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: Proc SPIE Int Soc Opt Eng Año: 2022 Tipo del documento: Article