Author/Authors :
Kashefpur ، Masoud Student research committee, School of Advanced Technologies in Medicine - Isfahan University of Medical Sciences , Kafieh ، Rahele Medical Image and Signal Processing research center, School of Advanced Technologies in Medicine - Isfahan University of Medical Sciences , Jorjandi ، Sahar Student research committee, School of Advanced Technologies in Medicine - Isfahan University of Medical Sciences , Golmohammadi ، Hadis Student research committee, School of Advanced Technologies in Medicine - Isfahan University of Medical Sciences , Khodabande ، Zahra Student research committee, School of Advanced Technologies in Medicine - Isfahan University of Medical Sciences , Abbasi ، Mohammadreza Student research committee, School of Advanced Technologies in Medicine - Isfahan University of Medical Sciences , Teifuri ، Nilufar Student Research Committee, School of Advanced Technologies in Medicine - Isfahan University of Medical Sciences , Fakharzadeh ، Ali Akbar Department of Computer Engineering - Higher Education Institute of Allame Naeini , Kashefpoor ، Maryam Institute for Cognitive and Brain Sciences - Shahid Beheshti University , Rabbani ، Hossein Medical Image and Signal Processing Research Center, School of Advanced Technologies in Medicine - Isfahan University of Medical Sciences
Abstract :
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 semiautomatic SEO indexing have been set for the site. A comprehensive list of available websites for medical datasets is also presented as a Supplementary.
Keywords :
Algorithms , computers , dataset , online
