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Automated 3D segmentation of the aorta and pulmonary artery for predicting outcomes after thoracoscopic lobectomy in lung cancer patients.
Lee, Hsin-Ying; Chung, Yu-Jung; Wang, Hao-Jen; Chiang, Xu-Heng; Chen, Li-Wei; Lin, Yan-Ting; Lee, Yi-Chieh; Hsu, Hsao-Hsun; Chang, Yeun-Chung; Chen, Chung-Ming; Lin, Mong-Wei; Chen, Jin-Shing.
Afiliação
  • Lee HY; Department of Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
  • Chung YJ; Institute of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan.
  • Wang HJ; Institute of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan.
  • Chiang XH; Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.
  • Chen LW; Department of Surgery, National Taiwan University Hospital, Taipei, Taiwan.
  • Lin YT; Institute of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan.
  • Lee YC; Institute of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan.
  • Hsu HH; Department of Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
  • Chang YC; Department of Surgery, National Taiwan University Hospital, Taipei, Taiwan.
  • Chen CM; Department of Medical Imaging , National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
  • Lin MW; Institute of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan.
  • Chen JS; Department of Surgery, National Taiwan University Hospital, Taipei, Taiwan.
Front Oncol ; 12: 1027036, 2022.
Article em En | MEDLINE | ID: mdl-36387180
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article