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3D deep learning versus the current methods for predicting tumor invasiveness of lung adenocarcinoma based on high-resolution computed tomography images.
Lv, Yilv; Wei, Ying; Xu, Kuan; Zhang, Xiaobin; Hua, Rong; Huang, Jia; Li, Min; Tang, Cui; Yang, Long; Liu, Bingchun; Yuan, Yonggang; Li, Siwen; Gao, Yaozong; Zhang, Xianjie; Wu, Yifan; Han, Yuchen; Shang, Zhanxian; Yu, Hong; Zhan, Yiqiang; Shi, Feng; Ye, Bo.
Afiliação
  • Lv Y; Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Wei Y; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China.
  • Xu K; Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Zhang X; Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Hua R; Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Huang J; Department of Oncologic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Li M; Department of Radiology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Tang C; Department of Radiology, Yangpu Hospital, Tongji University, Shanghai, China.
  • Yang L; Department of Thoracic Surgery, Affiliated Hospital of Gansu Medical College, Pingliang, China.
  • Liu B; Department of Thoracic Surgery, Weifang People's Hospital, Weifang, China.
  • Yuan Y; Department of Thoracic Surgery, Qilu Hospital of Shandong University, Qingdao, China.
  • Li S; Department of Thoracic Surgery, Qingyuan People's Hospital, Guangzhou Medical University, Guangzhou, China.
  • Gao Y; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China.
  • Zhang X; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China.
  • Wu Y; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China.
  • Han Y; Department of Pathology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Shang Z; Department of Pathology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Yu H; Department of Radiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Zhan Y; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China.
  • Shi F; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China.
  • Ye B; Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Front Oncol ; 12: 995870, 2022.
Article em En | MEDLINE | ID: mdl-36338695
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: 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: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article