人工智能和放射学在肺癌中的研究趋势:一个图书识别分析
Yufei Xia1,2, Shupei Zhong1,2, Xinjing Lou1,2
1Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China.
Quantitative imaging in medicine and surgery
|December 19, 2024
概括
这份图书统计分析显示,人工智能 (AI) 和放射学在肺癌研究中正在迅速发展,中国的领先出版物和深度学习,计算机断层扫描和分类是关键领域. 未来的趋势包括纹理分析和图像分类,以改善诊断.
科学领域:
- 医疗信息学 医疗信息学
- 放射学 放射学是一门学科.
- 在瘤学瘤学.
背景情况:
- 关于人工智能 (AI) 和肺癌中的放射学研究越来越多.
- 需要确定这个快速发展的领域的当前状态,热点和趋势.
研究的目的:
- 进行关于人工智能和放射学在肺癌中的出版物的文献分析.
- 调查当前的研究状况,热点和趋势.
主要方法:
- 从Web of Science核心收藏中对2,989篇出版物的图书法分析.
- 使用CiteSpace对机构,作者和关键词进行并发网络映射.
- 使用Bibliometrix和R.R.对国家,地区和期刊的分析.
主要成果:
- 自2016年以来,出版物的数量大幅增加,其中中国是主要贡献者.
- 福丹大学和作者吉利斯表现出高的机构和作者生产力.
- 癌症和放射学前沿是关键期刊;"肺癌"",深度学习"",分类"",计算机断层扫描"和"特征"是突出的关键词.
- 新兴的研究领域包括"纹理"",图像分类"和"假阳性减少".
结论:
- 图书统计分析提供了关于研究热点和人工智能和肺癌放射学未来趋势的见解.
- 这些发现可以指导未来的研究,重点是人工智能技术创新,标准化特征提取和理解EGFR突变.
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