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Deep learning for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: A multicentre study.
She, Yunlang; He, Bingxi; Wang, Fang; Zhong, Yifan; Wang, Tingting; Liu, Zhenchuan; Yang, Minglei; Yu, Bentong; Deng, Jiajun; Sun, Xiwen; Wu, Chunyan; Hou, Likun; Zhu, Yuming; Yang, Yang; Hu, Hongjie; Dong, Di; Chen, Chang; Tian, Jie.
Afiliação
  • She Y; Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
  • He B; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Engineering Medicine, Beihang University, Beijing, China; Key Laboratory of Big Data-Based Precision Medicine, Beihang University, Ministry of Industry and Information Technology, Beijing, China; CAS Key Laboratory o
  • Wang F; Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Zhong Y; Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
  • Wang T; Department of Radiology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
  • Liu Z; Department of Thoracic Surgery, Shanghai Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
  • Yang M; Department of Thoracic Surgery, Hwa Mei Hospital, Chinese Academy of Sciences, Zhejiang, China.
  • Yu B; Department of Thoracic Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, China.
  • Deng J; Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
  • Sun X; Department of Radiology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
  • Wu C; Department of Pathology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
  • Hou L; Department of Pathology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
  • Zhu Y; Department of Radiology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
  • Yang Y; Department of Radiology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
  • Hu H; Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China. Electronic address: hongjiehu@zju.edu.cn.
  • Dong D; CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China. Electronic address: di.
  • Chen C; Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China. Electronic address: chenthoracic@163.com.
  • Tian J; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Engineering Medicine, Beihang University, Beijing, China; Key Laboratory of Big Data-Based Precision Medicine, Beihang University, Ministry of Industry and Information Technology, Beijing, China; CAS Key Laboratory o
EBioMedicine ; 86: 104364, 2022 Dec.
Article em En | MEDLINE | ID: mdl-36395737
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinoma Pulmonar de Células não Pequenas / Aprendizado Profundo / Neoplasias Pulmonares Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: EBioMedicine Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinoma Pulmonar de Células não Pequenas / Aprendizado Profundo / Neoplasias Pulmonares Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: EBioMedicine Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China