Identification of Intra-Cardiac Masses Based on Advanced ACM Segmentation using Multiclass SVM Classifier

one of important task in cardiac disease diagnosis is to identify intra-cardiac masses in echocardiogram. Based on Multi-class SVM classifier to identify the difference between the intra-cardiac masses in echo-cardiograph to get good accuracy. First, a region of interest is cropped to define the mass area. Then apply global de-noising by NLM to eliminate the noise without disturbing the original structure. Subsequently, the contour of the mass and it connected mass atrial wall are identified with adaptive color segmentation model. Finally the motion, the boundary as well as the texture features are processed by SVM classifier. Our proposed method gives good accuracy and sensitivity. Intra-cardiac masses are the condition of increasing clinical significance not only because of its potential complications but also lack of clinical evidence to guide clinicians in selecting optimal therapies.