Internet上开源医学图像数据库的统计调查

Hongkai Wang, Xinlei Ma, Haoyu Zhai, Yuhao Liao, Yi Wu, Na Chen, Shaoxiang Zhang, Bin Zhang
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引用次数: 1

摘要

背景与目的:目前,越来越多的开源医学影像数据库在互联网上发布,用于医学教学、算法开发和医学研究。然而,对这些数据库的统计调查仍然缺乏。在本调查中,我们总结了互联网上开源医学图像数据库的现状。其目的是使每个人都能更容易地找到和使用开源医学图像数据。方法:通过检索科学论文和互联网搜索引擎收集公开的医学图像数据库信息。根据收集到的信息,计算了不同疾病、身体部位、成像方式和国家的数据库数量和图像数量。结果:癌症,尤其是乳腺癌和肺癌,在所有疾病的数据库数量中排名第一。就数据库数量而言,乳房、大脑、肺和胸部是排名前四的身体部位。计算机断层扫描、磁共振成像和x射线是开源数据集中最常见的成像方式。美国和荷兰是拥有最多数据库的前两个国家。结论:疾病和身体部位排名与一个国家的疾病发病率和卫生保健支出密切相关。医学影像数据库的开源数量仍在增长;在未来几年,有必要对它们的存在状况进行持续的统计研究。所有收集到的数据库列表在Internet上打开(https://docs.qq.com/sheet/DQWF0QlZKVHpHU1Za)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Statistical survey of open source medical image databases on the Internet
Background and Objectives: Nowadays, more and more open source medical imaging databases are published on the Internet for medical teaching, algorithm development, and medical research. However, a statistical survey of these databases is still lacking. In this survey, we summarize the current status of open source medical image databases on the Internet. The aim is to make it easier for everyone to find and use open source medical image data. Methods: Information about publicly available medical image databases was collected by searching for scientific papers and Internet search engines. Based on the collected information, the number of databases and the number of images were counted for different diseases, body parts, imaging modalities, and countries. Results: Cancer, particularly breast cancer and lung cancer, ranked top in database numbers among all diseases. The breast, brain, lung, and chest are the top four body parts in terms of database numbers. Computed tomography, magnetic resonance imaging, and X-ray are the most common imaging modalities in the open source datasets. The USA and the Netherlands are the top two countries who own the most databases. Conclusions: The rankings for diseases and body parts were closely related to the diseases morbidity and the health-care expenditure of a country. The number of open sources of medical imaging databases is still growing; there is a need for continuous statistical research on their existence status in the coming years. The list of all the collected databases is opened on the Internet (https://docs.qq.com/sheet/DQWF0QlZKVHpHU1Za).
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