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基于人工智能的医疗影像诊断技术参考文祥

  1. Shi, J., Wang, Y., & Yu, D. (2020). Medical image analysis with deep learning: A review. Engineering, 6(8), 1025-1049.

  2. Rajpurkar, P., Irvin, J., Ball, R. L., Zhuo C., et al. (2018). Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists. PLOS Medicine, 15(11), e1002686.

  3. Zhang, X., Zhou, X., Lin, M., Sun W., et al. (2021). AI-assisted diagnosis of COVID-19 using CT scans: An evaluation of the diagnostic performance in different patient populations and disease stages without an external dataset involved. The Lancet Digital Health, 3(10), e698-e710.

  4. Wang S., Summers R.M. (2012). Machine learning and radiology. Medical Image Analysis, 16(5), 933-951.

  5. Esteva A., Kuprel B., Novoa R.A., et al.(2017). Dermatologist-level classification of skin cancer with deep neural networks.Nature ,542(7639):115–118.

  6. Wang Y.X.J.(2019) Artificial intelligence in medical imaging: Opportunities and challenges.Radiology ,291(2):280–281.

7.Litjens G ,Kooi T,Breast Cancer Screening Using Artificial Intelligence and Radiomics. Journal of Cancer Policy.Volume24,March2020,pages100212

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