148 Int. J. Biomedical Engineering and Technology, Vol. 17, No. 2, 2015 Copyright © 2015 Inderscience Enterprises Ltd. Automatic liver parenchyma segmentation system from abdominal CT scans using hybrid techniques Ahmed M. Anter Faculty of Computers and Information, CS Department, Mansoura University, Mansoura City, Egypt and Scientific Research Group in Egypt (SRGE), Egypt Email: sw_anter@yahoo.com Aboul Ella Hassanien Faculty of Computer and Information, Beni Suef University, Beni Suef, Egypt and Scientific Research Group in Egypt (SRGE), Egypt Email: aboitcairo@fci-cu.edu.eg Mohamed Abu ElSoud Faculty of Computers and Information, CS Department, Mansoura University, Mansoura City, Egypt Email: moh_soud@mans.edu.eg Ahmad Taher Azar* Faculty of Computers and Information, Benha University, Benha, Egypt Email: ahmad.azar@fci.bu.edu.eg Email: ahmad_t_azar@ieee.org *Corresponding author Abstract: In this paper, a multi-layer heuristic approach is introduced to segment liver region from other tissues in multi-slice CT images. Image noise is a principal factor which hampers the visual quality of medical images and can therefore lead to misdiagnosis. To address this issue, we first utilise an algorithm based on median filter to remove noise and enhance the contrast of