病医学与计算机视觉相遇:一个参考文献分析
Junren Chen1,2,3, Rui Chen4, Liangyin Chen2
1Department of Nephrology and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
International urology and nephrology
|May 30, 2024
概括
计算机视觉 (CV) 在病医学中越来越多地用于诊断和治疗. 研究表明,出版物中的趋势越来越大,人工智能和3D成像在病研究中越来越突出.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 医疗成像医学成像
- 计算机视觉 计算机视觉
背景情况:
- 计算机视觉 (CV) 为促进病检查,诊断和治疗提供了显著的潜力.
- 在脏医学中CV的应用是一个快速发展的领域,研究兴趣越来越大.
研究的目的:
- 进行对计算机视觉在病医学中的应用研究的文献分析.
- 探索这个跨学科领域不断变化的研究格局,趋势和关键贡献者.
主要方法:
- 从科学网络核心集合 (1900-2022) 中对出版物的图书统计分析.
- 分析出版趋势,有影响力的来源,多产的研究人员和机构.
- 使用Python,Matplotlib,Seaborn,HistCite和Vosviewer进行网络可视化.
主要成果:
- 应用CV到脏医学的出版物显著增加.
- 主要的研究主题包括医学图像处理,诊断和外科手术.
- 美国在出版物方面处于领先地位,深度学习和机器学习是关键技术;研究正在转向人工智能,3D数据和各种模式.
结论:
- 图书统计分析提供了关于脏医学中CV的科学统计概述.
- 识别了新兴趋势,关键来源,领先的机构和流行的话题.
- 结果为脏医学CV的未来研究方向提供了宝贵的见解.
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