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山东大学学报 (医学版) ›› 2023, Vol. 61 ›› Issue (3): 1-6.doi: 10.6040/j.issn.1671-7554.0.2022.0902

• 专家综述 •    下一篇

计算机视觉与腰椎退行性疾病

冯世庆1,2,*()   

  1. 1. 山东大学第二医院脊柱外科，山东 济南 250033
    2. 山东大学齐鲁医院骨科，山东 济南 250012
  • 收稿日期:2022-07-29 出版日期:2023-03-10 发布日期:2023-03-24
  • 通讯作者: 冯世庆 E-mail:sqfeng@tmu.edu.cn
  • 作者简介:冯世庆，教授，主任医师，博士研究生导师, 山东大学第二医院院长，山东大学齐鲁医院骨科主任，国家脊髓损伤国际科技合作基地主任，山东大学骨科医学研究中心主任，天津市脊柱脊髓重点实验室主任，天津市脊髓损伤国际联合研究中心主任。教育部长江学者特聘教授，入选中组部万人计划领军人才、国家人事部新世纪百千万人才工程国家级人选、教育部新世纪优秀人才支持计划、国家卫健委有突贡贡献中青年专家、泰山学者攀登计划专家、天津市“131”第一层次人才。担任第十届国际神经修复学会(IANR)主席，山东省医学会副会长，中华医学会骨科学分会创新与转化学组组长，中国医师协会骨科医师分会智能骨科学组组长，中国医师协会神经修复学专委会副主委，中国医师协会骨科学分会全国脊柱创伤工作委员会副主委，中国康复医学会脊柱脊髓专委会副主委兼全国脊柱脊髓基础研究主委，中华预防医学会脊柱疾病预防与控制专委会副主委，国家重点研发计划首席科学家|长期聚焦脊柱脊髓损伤与退变的基础和临床研究，主持开展全国脊柱脊髓损伤流行病学调查，首次建立中国脊柱脊髓损伤流行病学研究体系；率先构建脊髓损伤微环境分子病理数据库，系统阐明脊髓损伤分子病理机制，在国际上提出脊髓损伤后微环境失衡理论并转化应用；研发人工智能辅助脊柱脊髓疾病微创治疗体系并转化应用；在国内首次建立脊柱脊髓损伤和腰骶神经根病规范化诊疗体系，规范了脊柱脊髓损伤和腰骶神经根病快速诊断、药物及手术治疗与术后康复标准，其应用显著提高我国脊柱脊髓损伤与退变疾病的诊疗水平|主持国家重点研发计划“干细胞及转化研究”重点专项、国自然重点项目及重点国合项目、科技部国合专项等科研项目23项。在《Nature》《Proceedings of the National Academy of Sciences of the United States of America》《Nature Communications》《Advanced Healthcare Materials》《Annals of the Rheumatic Diseases》《Bioactive Materials》《Chemical Engineering Journal》《Bone Research》《Biofabrication》《Journal of Neuroinflammation》等期刊发表论文360篇(SCI论文230篇)，授权专利23项(发明专利7项)，主编、参编著作18部。获国家科技进步二等奖1项、天津市科技进步特等奖1项、天津市科技进步一等奖2项、中华医学科技二等奖1项等科技奖励10项

Computer vision and lumbar degenerative disease

Shiqing FENG1,2,*()   

  1. 1. Department of Spine Surgery, The Second Hospital of Shandong University, Jinan 250033, Shandong, China
    2. Department of Orthopedics, Qilu Hospital of Shandong University, Jinan 250012, Shandong, China
  • Received:2022-07-29 Online:2023-03-10 Published:2023-03-24
  • Contact: Shiqing FENG E-mail:sqfeng@tmu.edu.cn

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摘要：

计算机视觉作为计算机科学的一个重要分支，随着近年人工智能算法的发展，逐渐得到人们的关注。相关算法已经在自动驾驶以及安防摄像头等领域得到工业化的应用，而医学图像分析目前被认为是最有可能实现工业化推广的领域之一，是人工智能研究热点。腰椎退行性疾病方面的计算机视觉研究在近年来随着深度学习技术的发展大量涌现，本文就计算机视觉技术与腰椎退行性疾病相关研究进行综述，以帮助了解计算机视觉技术在腰椎退行性疾病中应用的现状与未来发展趋势。

关键词: 计算机视觉, 腰椎退行性疾病, 人工智能, 深度学习, 腰椎间盘突出

Abstract:

As an important branch of computer science, computer vision has gradually attracted people's attention, benefited by the development of artificial intelligence in recent years. Some classical algorithms have been industrialized in areas such as autonomous driving or security cameras. Medical image analysis is currently considered one of the most likely areas to achieve industrialization and a hotspot in artificial intelligence research. Computer vision research on lumbar degenerative diseases has sprung up with the development of deep learning algorithms lately. We will review the status of computer vision research related to lumbar degenerative disease, which will be helpful for the understanding of the situation and future trend in the topic.

Key words: Computer Vision, Lumbar degenerative diseases, Artificial intelligence, Deep learning, Lumbar disc herniation

中图分类号: 

  • R681.5

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分类任务示意图[9]"

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