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The ITS2 Database

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Published on: March 12, 2012

Isfahan MISP Dataset.

Masoud Kashefpur¹, Rahele Kafieh², Sahar Jorjandi¹

¹Student Research Committee, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.

Journal of Medical Signals and Sensors

|May 11, 2017

Summary

A new online database, biosigdata.com, offers open access to clinical ground truth data for evaluating computer-aided algorithms. Researchers can download datasets and share supplementary materials securely.

Keywords:

Algorithms computers dataset online

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Area of Science:

Biomedical Informatics
Medical Imaging
Data Science

Background:

Sharing clinical ground truth data is crucial for developing and validating computer-aided diagnostic algorithms.
Existing platforms may lack comprehensive, easily accessible medical datasets for algorithm evaluation.

Purpose of the Study:

To introduce biosigdata.com, an online repository for sharing clinical ground truth data.
To provide researchers with open access to medical signals and images for algorithm evaluation.
To facilitate secure data sharing and user collaboration.

Main Methods:

Developed an online database using PHP for web programming and MySQL for database management.
Implemented features for data download, supplementary material sharing, and user commenting.
Integrated automatic sitemap generation and semi-automatic SEO indexing for enhanced discoverability.

Main Results:

Successfully launched biosigdata.com, a fast, secure, and user-friendly online database.
Enabled free registration for users to access and contribute medical datasets.
Ensured user privacy is maintained for shared supplementary materials, with options for citation and fees.

Conclusions:

biosigdata.com serves as a valuable resource for the research community by providing open access to clinical data.
The platform supports the advancement of computer-aided algorithms through accessible ground truth datasets.
The implemented features promote data sharing, collaboration, and efficient algorithm validation.