APPLICATION OF GENETIC ALGORITHM FOR LIVER CANCER DETECTION

Yamini Upadhyay, Vikas Wasson

Abstract: Human life is the most precious and valuable gift of God. The internal structure of human body is complex and weird. When there is any medical complication or problem it gets very important for doctor to analyze it correctly. X ray, CT and MRI images help doctor in this analysis. Cancer is a prominent reason for deaths in India. The cancer can be detected in human body through MRI images but it gets difficult to correctly analyze it due to the reason of having almost same intensity of the images of other body parts. A better system has to be find for the segmentation of liver from MRI images so that it can be identified clearly from the adjacent organs which have similar intensity. Also livers geometry is very complex due to its high anatomical variability both in health and disease. In this paper we will present different techniques for segmentation and will design a method for liver segmentation and cancer detection.

Keywords: Liver Segmentation, Genetic algorithm, MRI, Threshold based approaches. CBIR, Contour, Histogram

DOI: https://doi.org/10.15623/ijret.2014.0305051