Kashefpur Masoud, Kafieh Rahele, Jorjandi Sahar, Golmohammadi Hadis, Khodabande Zahra, Abbasi Mohammadreza, Teifuri Nilufar, Fakharzadeh Ali Akbar, Kashefpoor Maryam, Rabbani Hossein
Student Research Committee, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Medical Image and Signal Processing Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
J Med Signals Sens. 2017 Jan-Mar;7(1):43-48.
An online depository was introduced to share clinical ground truth with the public and provide open access for researchers to evaluate their computer-aided algorithms. PHP was used for web programming and MySQL for database managing. The website was entitled "biosigdata.com." It was a fast, secure, and easy-to-use online database for medical signals and images. Freely registered users could download the datasets and could also share their own supplementary materials while maintaining their privacies (citation and fee). Commenting was also available for all datasets, and automatic sitemap and semi-automatic SEO indexing have been set for the site. A comprehensive list of available websites for medical datasets is also presented as a Supplementary (http://journalonweb.com/tempaccess/4800.584.JMSS_55_16I3253.pdf).
引入了一个在线知识库,用于与公众共享临床基本事实,并为研究人员提供开放访问权限,以评估他们的计算机辅助算法。使用PHP进行网页编程,MySQL进行数据库管理。该网站名为“biosigdata.com”。它是一个用于医学信号和图像的快速、安全且易于使用的在线数据库。免费注册用户可以下载数据集,还可以在保持隐私(引用和收费)的同时共享自己的补充材料。所有数据集都提供评论功能,并且已为该网站设置了自动网站地图和半自动SEO索引。还提供了一份医学数据集可用网站的综合列表作为补充材料(http://journalonweb.com/tempaccess/4800.584.JMSS_55_16I3253.pdf)。