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首页|期刊导航|智能影像学(英文)|Assessing the reproducibility,stability,and biological interpretability of multimodal computed tomography image features for prognosis in advanced non-small cell lung cancer

Assessing the reproducibility,stability,and biological interpretability of multimodal computed tomography image features for prognosis in advanced non-small cell lung cancer

Jiajun Wang Gang Dai Xiufang Ren Ruichuan Shi Ruibang Luo Jianhua Liu Kexue Deng Jiangdian Song

智能影像学(英文)2024,Vol.2Issue(1):3-16,14.
智能影像学(英文)2024,Vol.2Issue(1):3-16,14.DOI:10.1002/ird3.56

Assessing the reproducibility,stability,and biological interpretability of multimodal computed tomography image features for prognosis in advanced non-small cell lung cancer

Assessing the reproducibility,stability,and biological interpretability of multimodal computed tomography image features for prognosis in advanced non-small cell lung cancer

Jiajun Wang 1Gang Dai 2Xiufang Ren 3Ruichuan Shi 4Ruibang Luo 5Jianhua Liu 6Kexue Deng 2Jiangdian Song7

作者信息

  • 1. Department of Thoracic Surgery,The First Affiliated Hospital of China Medical University,Shenyang,Liaoning,China
  • 2. Department of Radiology,The First Affiliated Hospital of University of Science and Technology of China(USTC),Division of Life Sciences and Medicine,USTC,Hefei,Anhui,China
  • 3. Department of Pathology,Shengjing Hospital of China Medical University,Shenyang,Liaoning,China
  • 4. Department of Medical Oncology,The First Hospital of China Medical University,Shenyang,Liaoning,China
  • 5. Department of Computer Science,The University of Hong Kong,Hong Kong,China
  • 6. Department of Oncology,Cancer Center,Guangdong Provincial People's Hospital,Guangdong Academy of Medical Sciences,and Southern Medical University,Guangzhou,Guangdong,China
  • 7. School of Health Management,China Medical University,Shenyang,Liaoning,China
  • 折叠

摘要

关键词

artificial intelligence/computed tomography/critical pathways/non-small cell lung cancer/x-ray

Key words

artificial intelligence/computed tomography/critical pathways/non-small cell lung cancer/x-ray

引用本文复制引用

Jiajun Wang,Gang Dai,Xiufang Ren,Ruichuan Shi,Ruibang Luo,Jianhua Liu,Kexue Deng,Jiangdian Song..Assessing the reproducibility,stability,and biological interpretability of multimodal computed tomography image features for prognosis in advanced non-small cell lung cancer[J].智能影像学(英文),2024,2(1):3-16,14.

基金项目

National Natural Science Foundation of China,Grant/Award Numbers:92259104,82001904 ()

智能影像学(英文)

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