LIVER SEGMENTATION IN CT SCAN FOR OPTIMIZED METHOD

Abstract

In a medical side liver segmentation is a major problem. It is a much more challenging task among other segmentation than a liver segment. So we have to introduce automatic segmentation of liver in CT images and MRI has become significance in medical area, so we are focusing the managing on domain from MRI to CT volumes on the example of 3D and 2D liver segmentation. Here, we are implemented to fuzzy clustering method and cuckoo optimized method to used in this method. In additional that the purpose of this method is to used for liver boundary calculation and segment the values using fuzzy C-means and fuzzy clustering using Support Vector Machine (SVM) for classification). The spatial liver boundary by constraints are named with different method such as the user can choose on particular region of interest and contour method until more accurate results to be obtained.