Clinic heart disease system

RNA toolbox to extract parameters from radionuclide angiography (RNA) images.
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Actualizado 24 oct 2023

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This toolbox is associated with the forthcoming publication titled "Cardiotoxicity Detection Tool for Breast Cancer Chemotherapy: A Retrospective Study." It offers a comprehensive framework for researchers to analyze parameters such as the left ventricle ejection fraction, dyssynchrony metrics, and numerous additional factors.
The software incorporates a diverse set of tools designed to evaluate the impact of technical variables (e.g., filter selection, matrix dimensions) and clinical aspects (e.g., cardiotoxicity manifestations). This platform is invaluable for a broad spectrum of professionals, including researchers, clinicians, medical technologists, medical physicists, and students in the field.
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.

Citar como

Ahmad Alenezi (2024). Clinic heart disease system (https://www.mathworks.com/matlabcentral/fileexchange/117290-clinic-heart-disease-system), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2020a
Compatible con cualquier versión
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Versión Publicado Notas de la versión
1.2.0

Description has been updated

1.0.0