张雪怡, 孙博, 陈癸霖, 胡歌, 李晴, 邱贵兴. 计算机视觉在医学图像中的应用及其对罕见肌肉骨骼疾病的影响[J]. 罕见病研究, 2023, 2(4): 589-595. DOI: 10.12376/j.issn.2097-0501.2023.04.014
引用本文: 张雪怡, 孙博, 陈癸霖, 胡歌, 李晴, 邱贵兴. 计算机视觉在医学图像中的应用及其对罕见肌肉骨骼疾病的影响[J]. 罕见病研究, 2023, 2(4): 589-595. DOI: 10.12376/j.issn.2097-0501.2023.04.014
ZHANG Xueyi, SUN Bo, CHEN Guilin, HU Ge, LI Qing, QIU Guixing. Computer Vision in Medical Imaging and its Impact on the Rare Musculoskeletal Diseases[J]. Journal of Rare Diseases, 2023, 2(4): 589-595. DOI: 10.12376/j.issn.2097-0501.2023.04.014
Citation: ZHANG Xueyi, SUN Bo, CHEN Guilin, HU Ge, LI Qing, QIU Guixing. Computer Vision in Medical Imaging and its Impact on the Rare Musculoskeletal Diseases[J]. Journal of Rare Diseases, 2023, 2(4): 589-595. DOI: 10.12376/j.issn.2097-0501.2023.04.014

计算机视觉在医学图像中的应用及其对罕见肌肉骨骼疾病的影响

Computer Vision in Medical Imaging and its Impact on the Rare Musculoskeletal Diseases

  • 摘要: 全球有超过6000种罕见病,影响着超过3亿人群。早期的准确诊断一直是罕见病临床实践的重要目标。以人工智能算法为代表的计算机视觉技术,为医学图像分析提供了强大支撑,在罕见病诊疗与康复中发挥了重要作用。该技术还可以从医学图像中提取出与疾病相关的模式,然而,却受限于医学问题自身的复杂性。本文旨在总结计算机视觉在罕见肌肉骨骼疾病诊疗评估和康复管理中应用的新趋势。

     

    Abstract: There are over 6000 rare diseases in the world, affecting more than 300 million people. Early and precise diagnosis of rare diseases has always been the goal in clinical medicine. Emerging computer vision technology now greatly enhance medicine and healthcare and shows the potential in assisting the diagnosis and treatment for rare diseases. The technology can be a useful tool for extracting disease-relevant patterns from medical imaging. However, the effectiveness of its application depends on the complexity of the medical cases. In this paper, we summarize the challenges and emerging solution for the application of computer vision in diagnosis, rehabilitation as well as management of rare musculoskeletal diseases.

     

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