Liver Tumor Segmentation using Adaptive Thresholding

Abstract: Liver the largest organ in human body plays an important role in detoxification of various metabolites, protein synthesis, and the production of biochemicals necessary for digestion. But liver cancer is one of the important disease which affect the liver. The different imaging modalities such as ultrasound scan, CT scan, MRI scan etc are used to obtain the abdominal images & here we concentrate on CT images. The manual process of doing segmentation from CT image is very time consuming and tedious task requiring expert radiologist and hence it is associated with many challenges. Therefore, we need automatic machine learning process, helps to achieve automatic segmentation of liver tumor. Here we use adaptive thresholdig method to sement the liver and liver tumor from abdominal CT image. Keywords: Liver, Tumor, Abdominal CT scan, Segmentation.