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Whole slide imaging-based deep learning to predict the treatment response of patients with non-small cell lung cancer.
Pan, Yuteng; Sheng, Wei; Shi, Liting; Jing, Di; Jiang, Wei; Chen, Jyh-Cheng; Wang, Haiyan; Qiu, Jianfeng.
Afiliación
  • Pan Y; Medical Science and Technology Innovation Center, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
  • Sheng W; Medical Engineering and Technology Research Center, School of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an, China.
  • Shi L; Department of Radiation Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
  • Jing D; Medical Engineering and Technology Research Center, School of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an, China.
  • Jiang W; Department of Oncology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
  • Chen JC; Department of Radiotherapy, Yantai Yuhuangding Hospital, Qingdao University School of Medicine, Yantai, China.
  • Wang H; Department of Biomedical Imaging and Radiological Sciences National Yang-Ming Chiao-Tung University, Taipei.
  • Qiu J; Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung.
Quant Imaging Med Surg ; 13(6): 3547-3555, 2023 Jun 01.
Article en En | MEDLINE | ID: mdl-37284119
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Quant Imaging Med Surg Año: 2023 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Quant Imaging Med Surg Año: 2023 Tipo del documento: Article País de afiliación: China