Extracting Liver and Tumor from Computer Tomography Images Using Hybrid Techniques

Computer tomography imaging Technique plays an important role in medical imaging research for diagnosis of liver diseases. Automatic detection of liver is the most essential parts in computer-aided diagnosis for liver CT as well as computer-aided surgery. CAD is used by radiologists as a second opinion in detecting tumors, accessing the extent of diseases and making diagnostic decision. Automatic segmentation of liver from CT images is difficult due to size, shape, position and presence of other objects with the same intensity present in the image. In this paper, hybrid technique for the segmentation of liver from the CT image is proposed. The hybrid technique used combination of one or more segmentation algorithms: FCM clustering and label connected algorithm .The objective of the proposed method is to segment the liver and detect the tumor from the segmented liver. The experimental results are discussed with radiologists doctor and demonstrates this algorithm is effective for automatic segmentation of liver.