Clinic heart disease system
Versión 1.2.0 (1,39 MB) por
Ahmad Alenezi
RNA toolbox to extract parameters from radionuclide angiography (RNA) images.
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
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
Compatibilidad con las plataformas
Windows macOS LinuxEtiquetas
Agradecimientos
Inspirado por: Signal complexity analysis, Chan Vese Active Contours without edges, Region Growing
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