Advancing Cardiac Image Processing: An Innovative Model Utilizing Canny Edge Detection For Enhanced Diagnostics

Cardiovascular disease is a leading cause of mortality worldwide, necessitating the development of advanced diagnostic techniques. This research paper introduces an innovative model utilizing edge detection algorithms to enhance cardiac image processing and diagnostics. The proposed model aims to improve diagnostic accuracy by accurately identifying and delineating boundaries of cardiac structures and abnormalities. A comprehensive of cardiac images, including both healthy individuals and patients with known cardiac abnormalities, was utilized for evaluation. The outcomes demonstrated the effectiveness of the proposed model in enhancing cardiac image processing, paving the way for improved diagnostic accuracy and patient care in the field of cardiology.