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Deep learning PET/CT-based radiomics integrates clinical data: A feasibility study to distinguish between tuberculosis nodules and lung cancer.
Zhang, Xiaolei; Dong, Xianling; Saripan, M Iqbal Bin; Du, Dongyang; Wu, Yanjun; Wang, Zhongxiao; Cao, Zhendong; Wen, Dong; Liu, Yanli; Marhaban, Mohammad Hamiruce.
Affiliation
  • Zhang X; Faculty of Engineering, Universiti Putra Malaysia, Serdang, Malaysia.
  • Dong X; Department of Biomedical Engineering, Chengde Medical University, Chengde, Hebei, China.
  • Saripan MIB; Department of Biomedical Engineering, Chengde Medical University, Chengde, Hebei, China.
  • Du D; Hebei International Research Center of Medical Engineering and Hebei Provincial Key Laboratory of Nerve Injury and Repair, Chengde Medical University, Chengde, Hebei, China.
  • Wu Y; Faculty of Engineering, Universiti Putra Malaysia, Serdang, Malaysia.
  • Wang Z; School of Biomedical Engineering and Guangdong Province Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China.
  • Cao Z; Department of Biomedical Engineering, Chengde Medical University, Chengde, Hebei, China.
  • Wen D; Department of Biomedical Engineering, Chengde Medical University, Chengde, Hebei, China.
  • Liu Y; Department of Radiology, the Affiliated Hospital of Chengde Medical University, Chengde, China.
  • Marhaban MH; Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing, China.
Thorac Cancer ; 14(19): 1802-1811, 2023 07.
Article in En | MEDLINE | ID: mdl-37183577

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tuberculosis / Deep Learning / Lung Neoplasms Type of study: Prognostic_studies Limits: Humans Language: En Journal: Thorac Cancer Year: 2023 Type: Article Affiliation country: Malaysia

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tuberculosis / Deep Learning / Lung Neoplasms Type of study: Prognostic_studies Limits: Humans Language: En Journal: Thorac Cancer Year: 2023 Type: Article Affiliation country: Malaysia