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Prospective assessment of breast cancer risk from multimodal multiview ultrasound images via clinically applicable deep learning.
Qian, Xuejun; Pei, Jing; Zheng, Hui; Xie, Xinxin; Yan, Lin; Zhang, Hao; Han, Chunguang; Gao, Xiang; Zhang, Hanqi; Zheng, Weiwei; Sun, Qiang; Lu, Lu; Shung, K Kirk.
Afiliación
  • Qian X; Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA. xuejunqi@usc.edu.
  • Pei J; Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. xuejunqi@usc.edu.
  • Zheng H; Department of Breast Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Xie X; Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Yan L; Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Zhang H; Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Han C; School of Computer Science and Technology, Xidian University, Xi'an, China.
  • Gao X; Department of Neurosurgery, University Hospital Heidelberg, Heidelberg, Germany.
  • Zhang H; Department of Breast Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Zheng W; Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Sun Q; Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.
  • Lu L; Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Shung KK; Department of Ultrasound, Xuancheng People's Hospital, Xuancheng, China.
Nat Biomed Eng ; 5(6): 522-532, 2021 06.
Article en En | MEDLINE | ID: mdl-33875840
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Mamografía / Interpretación de Imagen Asistida por Computador / Ultrasonografía / Aprendizaje Profundo Tipo de estudio: Clinical_trials / Diagnostic_studies / Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Middle aged Idioma: En Revista: Nat Biomed Eng Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
Texto completo
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Mamografía / Interpretación de Imagen Asistida por Computador / Ultrasonografía / Aprendizaje Profundo Tipo de estudio: Clinical_trials / Diagnostic_studies / Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Middle aged Idioma: En Revista: Nat Biomed Eng Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido