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Deep Learning Nomogram for the Identification of Deep Stromal Invasion in Patients With Early-Stage Cervical Adenocarcinoma and Adenosquamous Carcinoma: A Multicenter Study.
Xiao, Mei Ling; Qian, Ting; Fu, Le; Wei, Yan; Ma, Feng Hua; Gu, Wei Yong; Li, Hai Ming; Li, Yong Ai; Qian, Zhao Xia; Cheng, Jie Jun; Zhang, Guo Fu; Qiang, Jin Wei.
Afiliación
  • Xiao ML; Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China.
  • Qian T; Department of Radiology, International Peace Maternity and Child Health Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
  • Fu L; Department of Radiology, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China.
  • Wei Y; Department of Automation, Zhejiang University of Technology, Hangzhou, China.
  • Ma FH; Department of Radiology, Obstetrics & Gynecology Hospital, Fudan University, Shanghai, China.
  • Gu WY; Department of Pathology, Obstetrics & Gynecology Hospital, Fudan University, Shanghai, China.
  • Li HM; Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Li YA; Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China.
  • Qian ZX; Department of Radiology, International Peace Maternity and Child Health Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
  • Cheng JJ; Department of Radiology, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China.
  • Zhang GF; Department of Radiology, Obstetrics & Gynecology Hospital, Fudan University, Shanghai, China.
  • Qiang JW; Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China.
J Magn Reson Imaging ; 59(4): 1394-1406, 2024 Apr.
Article en En | MEDLINE | ID: mdl-37392060
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Adenocarcinoma / Neoplasias del Cuello Uterino / Carcinoma Adenoescamoso / Aprendizaje Profundo Tipo de estudio: Clinical_trials / Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Middle aged Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2024 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Adenocarcinoma / Neoplasias del Cuello Uterino / Carcinoma Adenoescamoso / Aprendizaje Profundo Tipo de estudio: Clinical_trials / Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Middle aged Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2024 Tipo del documento: Article País de afiliación: China