Title: A novel method on earlier detection of bone cancer using Markov random field segmentation

Authors: P. Sivakumar; B. Muthu Kumar

Addresses: Department of Electronics and Communication Engineering, GRT Institute of Engineering and Technology, Tiruttani, Tamil Nadu, India ' Department of Computer Science Engineering, Syed Ammal Engineering College, Ramanathapuram, Tamil Nadu, India

Abstract: An enchondroma is a benign tumour found in the bone marrow and it accounts for up to 10-25% of people with benign tumours. This paper proposes an approach to detect enchondroma tumour through Magnetic Resonance (MR) images. The proposed method includes pre-processing technique such as Gaussian filter in order to remove noise and smooth images. Segmentation is the main technique which gives precise knowledge about the image using the Markov random filed approach. The feature extraction and naive Bayes classifier works effectively and detects the tumour cells which are affected by enchondroma. The proposed method works efficiently and also detects the presence of enchondroma in the MR images.

Keywords: enchondroma tumours; tumour detection; Markov random field; image segmentation; morphology; early detection; bone cancer; benign tumours; magnetic resonance imaging; MRI; Gaussian filter; medical images; feature extraction; naive Bayes classifier; tumour cells.

DOI: 10.1504/IJBET.2017.082656

International Journal of Biomedical Engineering and Technology, 2017 Vol.23 No.2/3/4, pp.148 - 158

Received: 23 Jun 2016
Accepted: 26 Aug 2016

Published online: 24 Feb 2017 *

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