Automated Medical Image Segmentation using RBF ANN

Medical imaging is the technique and process of creating visual representations of the interior of a body for clinical analysis and medical intervention, as well as visual representation of the function of some organs or tissues. The Segmentation of medical image is essential and first step in medical image processing. The choice of a segmentation method depends on several considerations, namely the nature of the image and the primitives to extract etc. We propose Artificial neural network for the choice of the segmentation method. First, an evaluation of the quality of segmentation by different methods and using various statistical evaluations was carried out. Then, a characterization of images, based on some objective parameters, was performed. The resulting descriptors will be used as input to the Artificial neural network to associate each type of image with the adequate segmentation method after learning. The proposed segmentation methods and neural approach has helped to improve accuracy.