Clinic heart disease system

RNA toolbox to extract parameters from radionuclide angiography (RNA) images.

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Updated 7 Sep 2022

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This project contains MATLAB toolbox for the consideration of publishing paper "‘RNA toolbox’ to extract parameters from radionuclide angiography (RNA) images".
Some .m files are used from mathwork or github, the name of original author is written inside the file.
1- Chenvese: Implemented by Yue Wu
2- regionGrowing: written by Daniel Kellner, 2011
3- regiongrowingX: written by D. Kroon, University of Twente
4- ApEn_slow: written by Amir Omidvarnia, PhD
5- MyHistogram: written by Image Analyst mathwork contributor
Some codes are writteb based on papers or links:
1- DOS: Written at 21-9-2021 based on information of https://stats.stackexchange.com/questions/379666/measure-of-smoothness
2- CNR: Written at 21-9-2021 based on paper:
Rest .m files are written by us.

Cite As

Ahmad Alenezi (2023). Clinic heart disease system (https://www.mathworks.com/matlabcentral/fileexchange/117290-clinic-heart-disease-system), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2020a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0