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Prenatal Diagnosis of Placenta Accreta Spectrum Disorders: Deep Learning Radiomics of Pelvic MRI.
Peng, Lulu; Yang, Zehong; Liu, Jue; Liu, Yi; Huang, Jianwei; Chen, Junwei; Su, Yun; Zhang, Xiang; Song, Ting.
Afiliação
  • Peng L; Department of Radiology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510000, People's Republic of China.
  • Yang Z; Guangzhou Institute of Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510000, People's Republic of China.
  • Liu J; Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510000, People's Republic of China.
  • Liu Y; Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, People's Republic of China.
  • Huang J; Department of Radiology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510000, People's Republic of China.
  • Chen J; Guangzhou Institute of Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510000, People's Republic of China.
  • Su Y; Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510000, People's Republic of China.
  • Zhang X; Department of Radiology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510000, People's Republic of China.
  • Song T; Guangzhou Institute of Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510000, People's Republic of China.
J Magn Reson Imaging ; 59(2): 496-509, 2024 Feb.
Article em En | MEDLINE | ID: mdl-37222638
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adult / Female / Humans / Pregnancy Idioma: En Ano de publicação: 2024 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adult / Female / Humans / Pregnancy Idioma: En Ano de publicação: 2024 Tipo de documento: Article