ID : tm3482815456
Develop A Framework To Detect Calcification in Coronary Artery Disease Using Deep learning for Intravascular Ultrasound Image
In the coronary artery disease, plaque composite was developed in the artery wall because of the unhealthy diet. The cardiologists diagnose the patient by using angiogram and intravascular ultrasound (IVUS) to detect the calcification. The lumen diameter cannot be measured if the calcification exists because of the dark shadow artefact. The wave cannot penetrate the calcification; therefore, the dark shadow artefact exists behind the calcification. In this research study, we would like to collect the data based on different modality and catheter frequency to develop the framework to detect the calcification. The analysis from the data to detect the calcification will be used, using deep learning.