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ASO Visual Abstract: Solid Attenuation Components Attention Deep Learning Model to Predict Micropapillary and Solid Patterns in Lung Adenocarcinomas on Computed Tomography.
Chen, Li-Wei; Yang, Shun-Mao; Chuang, Ching-Chia; Wang, Hao-Jen; Chen, Yi-Chang; Lin, Mong-Wei; Hsieh, Min-Shu; Antonoff, Mara B; Chang, Yeun-Chung; Wu, Carol C; Pan, Tinsu; Chen, Chung-Ming.
Afiliação
  • Chen LW; Department of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan.
  • Yang SM; Department of Imaging Physics, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Chuang CC; Department of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan.
  • Wang HJ; Department of Surgery, National Taiwan University Hospital Biomedical Park Hospital, Zhubei City, Hsinchu County, Taiwan.
  • Chen YC; Department of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan.
  • Lin MW; Department of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan.
  • Hsieh MS; Department of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan.
  • Antonoff MB; Department of Medical Imaging, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
  • Chang YC; Department of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
  • Wu CC; Department of Pathology, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
  • Pan T; Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Chen CM; Department of Medical Imaging, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
Ann Surg Oncol ; 29(12): 7483-7484, 2022 Nov.
Article em En | MEDLINE | ID: mdl-35963903

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ann Surg Oncol Assunto da revista: NEOPLASIAS Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Taiwan

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ann Surg Oncol Assunto da revista: NEOPLASIAS Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Taiwan