This study applies machine learning techniques to improve the quality and diagnostic usefulness of echocardiographic images. By leveraging algorithms for segmentation, feature extraction, and noise reduction, the system enhances clarity and highlights critical cardiac structures. The research demonstrates how AI can support cardiologists in detecting abnormalities more accurately and efficiently. These advancements contribute to improved clinical workflows, early diagnosis, and better patient outcomes in cardiac healthcare.
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Multimedia Tools and Applications (SCI)
2022
https://link.springer.com/article/10.1007/s11042-022-13516-5