LIVER DISEASE DETECTION USING CT IMAGES.

Video Segmentation is an important research topic in image processing. Interactive image segmentation algorithms are sensitive to the user inputs and often unable to produce an accurate boundary with a small amount of user interaction. They frequently rely on laborious user editing to refine the segmentation boundary. The proposed method exhibits many desirable properties of an effective interactive image segmentation algorithm, including robustness to user inputs and different initializations, the ability to produce a smooth and accurate boundary contour, and the ability to handle topology changes. The proposed work is to find tumours, what type of disease and where it is affected in the liver using neural network classifier algorithm.