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Deep learning-based segmentation of the placenta and uterus on MR images.
Shahedi, Maysam; Spong, Catherine Y; Dormer, James D; Do, Quyen N; Xi, Yin; Lewis, Matthew A; Herrera, Christina; Madhuranthakam, Ananth J; Twickler, Diane M; Fei, Baowei.
Afiliação
  • Shahedi M; University of Texas at Dallas, Department of Bioengineering, Dallas, Texas, United States.
  • Spong CY; University of Texas Southwestern Medical Center, Department of Obstetrics and Gynecology, Dallas, Texas, United States.
  • Dormer JD; University of Texas at Dallas, Department of Bioengineering, Dallas, Texas, United States.
  • Do QN; University of Texas Southwestern Medical Center, Department of Radiology, Dallas, Texas, United States.
  • Xi Y; University of Texas Southwestern Medical Center, Department of Radiology, Dallas, Texas, United States.
  • Lewis MA; University of Texas Southwestern Medical Center, Department of Clinical Science, Dallas, Texas, United States.
  • Herrera C; University of Texas Southwestern Medical Center, Department of Radiology, Dallas, Texas, United States.
  • Madhuranthakam AJ; University of Texas Southwestern Medical Center, Department of Obstetrics and Gynecology, Dallas, Texas, United States.
  • Twickler DM; University of Texas Southwestern Medical Center, Department of Radiology, Dallas, Texas, United States.
  • Fei B; University of Texas Southwestern Medical Center, Advanced Imaging Research Center, Dallas, Texas, United States.
J Med Imaging (Bellingham) ; 8(5): 054001, 2021 Sep.
Article em En | MEDLINE | ID: mdl-34589556
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article