Time Optimizing techniques for X-Ray Angiogram by using machine learning

X- Ray Coronary Angiogram is also known as X-Ray CA. X-ray Coronary Angiogram is a test used to scan the heart from 360 point of view. The images generated by the X-Ray Angiogram is used to give the brief report on the blockage type, blockage area which means the percentage of blockage in coronary artery by Radiologist. In this process it is necessary that radiologist should analyse the data to find the blockage, now we will be able to generate the report using the machine learning model which is trained with a dataset by using image processing techniques. It is not mandatory for radiologist to be is the loop after training the model. Compare to the existing method this method requires less time to find the blockage. Stenosis which is known as narrowing of the blood vessel. Using this method not only finding of the blockage, but we can also find the stenosis with this report cariologist can suggest next course of action to treat his patients.