MVN_CNN and FCNN for endocardial edge detection

In this paper, Fuzzy Cellular Neural Networks (FCNN) endocardial edge detection is proposed. The echocardiographic image is preprocessed to enhance the contrast and smoothness by utilizing MVN_CNN filtering. FCNN is applied to the smoothed image to extract the heart boundaries. Fuzzy min and max functions are employed. The comparison was made between Fuzzy, CNN and FCNN edge detectors. The FCNN approach showed better results for extracting the LV endocardial edges. Some experimental results are given for different echocardiographic images.