Unsupervised Segmentation of Gall Bladder Lesions Using Hidden Markov Random Field Model

Gallbladder cancer is an uncommon cancer prevalent in some geographical locations such as South America, central and eastern Europe, Japan and northern India. If it is detected early then the patient can be cured by removing the gallbladder, portions of liver and lymph nodes. There are no specific symptoms of this disease and the cancer remains undetected till it has spread to adjoining organs. Hence the early detection of gallbladder lesions may save crucial lives. MR image of gallstones may result in early detection of gallbladder lesions. This article proposes to detect gallbladder lesions using artificial intelligence and soft computing techniques. Hidden Markov Random Field Model is used for segmentation of Gall-bladder lesions.Expert medical opinion is required to conclude whether the lesions have developed cancer.