Laser & Optoelectronics Progress, Volume. 61, Issue 14, 1400005(2024)

Research Progress in Deep Learning for Magnetic Resonance Diagnosis of Knee Osteoarthritis

Shuchen Lin, Dejian Wei, Shuai Zhang, Hui Cao*, and Yuzheng Du
Author Affiliations
  • College of Intelligence and Information Engineering, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong , China
  • show less
    References(99)

    [2] Maiese K. Picking a bone with WISP1 (CCN4): new strategies against degenerative joint disease[J]. Journal of Translational Science, 1, 83-85(2016).

    [4] Wang B, Yu N S. Expert consensus on step therapy of knee osteoarthritis (2018 edition)[J]. Chinese Journal of Joint Surgery (Electronic Edition), 13, 124-130(2019).

    [11] Jia B F. Research on medical image detection and segmentation algorithm based on deep learning[D](2019).

    [13] Zaffagnini S, Dejour D, Grassi A et al. Patellofemoral anatomy and biomechanics: current concepts[J]. Joints, 1, 15(2013).

    [18] Tan D H. Principle and fault analysis of medical X-ray imaging[J]. China Medical Device Information, 22, 70-72(2016).

    [25] Guermazi A, Roemer F W, Genant H K. Role of imaging in osteoarthritis: diagnosis, prognosis, and follow-up[J]. Medicographia, 35, 164-171(2013).

    [26] Di J L, Lin J C, Zhong L Y et al. Review of sparse-view or limited-angle CT reconstruction based on deep learning[J]. Laser & Optoelectronics Progress, 60, 0811002(2023).

    [34] Jiang B L, Wang X T. Principle of MRI and its clinical application[J]. China Medical Equipment, 10, 49-51(2013).

    [35] Wang H Y, Zhang F X, Yang J H. Study on the application value of synthetic magnetic resonance imaging in knee joint injury[J]. Image Technology, 34, 71-76(2022).

    [38] Deng Y. Pre-replacement evaluation of knee osteoarthritis with multi-sequence optimized MRI[D](2015).

    [49] Ji S T. Research on medical image segmentation method of knee cartilage based on deep learning[D](2022).

    [69] Yu N B, Liu J N, Gao L et al. Auto-segmentation method based on deep learning for the knee joint in MR images[J]. Chinese Journal of Scientific Instrument, 41, 140-149(2020).

    [70] Han G T, Li H H, Gao F. Role and significance of anterior cruciate ligament injury in the development of post-traumatic knee osteoarthritis[J]. Chinese Journal of Tissue Engineering Research, 24, 2440-2446(2020).

    [82] Lu L X, Zou J Z, Guo Y C et al. Prediction of knee injury based on multimodal fusion[J]. Computer Engineering and Applications, 57, 225-232(2021).

    [83] Li S. Digital anatomical study on three-dimensional model of bimodal anterior cruciate ligament[D](2018).

    [86] Zhao Y. Research on 3D cardiac medical image segmentation method based on knowledge distillation[D](2022).

    [91] Dayan I, Roth H R, Zhong A et al. Federated learning for predicting clinical outcomes in patients with COVID-19[J]. Nature Medicine, 27, 1735-1743(2021).

    [93] Srivastava N, Hinton G, Krizhevsky A et al. Dropout: a simple way to prevent neural networks from overfitting[J]. Journal of Machine Learning Research, 15, 1929-1958(2014).

    Tools

    Get Citation

    Copy Citation Text

    Shuchen Lin, Dejian Wei, Shuai Zhang, Hui Cao, Yuzheng Du. Research Progress in Deep Learning for Magnetic Resonance Diagnosis of Knee Osteoarthritis[J]. Laser & Optoelectronics Progress, 2024, 61(14): 1400005

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Reviews

    Received: Sep. 12, 2023

    Accepted: Nov. 8, 2023

    Published Online: Jul. 17, 2024

    The Author Email: Hui Cao (caohui63@163.com)

    DOI:10.3788/LOP232102

    CSTR:32186.14.LOP232102

    Topics