Title: Liver and tumour segmentation from abdominal CT images using adaptive threshold method

Authors: Deepesh Edwin; S. Hariharan

Addresses: Department of Electronics and Communication Engineering, LBS Institute of Technology for Women, Poojappura, Thiruvananthapuram, Kerala, India ' Department of Electrical and Electronics Engineering, College of Engineering, Thiruvananthapuram, Kerala, India

Abstract: Liver tumour segmentation from abdominal CT image is a challenging task in biomedical image processing. Complex segmentation methods may provide good segmentation results but are difficult for implementing in clinical environment. Hence, in this paper, we propose a simple thresholding technique based on fuzzy logic and Shannon's entropy function to segment the tumour from liver CT images. Tumour dimensions are then measured subsequently. The proposed method provides better results than the classical segmentation methods.

Keywords: abdominal CT scans; liver tumours; tumour segmentation; Shannon's entropy function; adaptive threshold; computed tomography; biomedical images; image processing; thresholding; fuzzy logic.

DOI: 10.1504/IJBET.2016.077183

International Journal of Biomedical Engineering and Technology, 2016 Vol.21 No.2, pp.190 - 204

Received: 06 Jun 2015
Accepted: 02 Nov 2015
Published online: 22 Jun 2016 *

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