Diagnosis of cardiovascular disorder by CT images using Machine learning technique

Cardiac imaging plays a predominant role in the diagnosis of cardio vascular disorders. The main aim of this project is to diagnosis the cardiac disorders using CT imaging along with a machine learning technique (Artificial neural network). Image processing techniques such as pre-processing, segmentation and classification are using for processing the image. Here segmentation and classification of the CT image plays an important role to diagnose the disorder, for segmentation ANN is being used and for classification SVM is employed both comes under the machine learning techniques. The implementation of machine learning techniques emerges as the artificial intelligence tool that will be of service to diagnosis of cardiovascular diseases. By constructing different algorithms for each process we can obtain précised and automated output. So that, the output of the experiment helps the clinician to diagnose the cardiac disorders more clearly and can be moved to further treatment