Content-based medical image retrieval system for infections and fluids in chest radiographs

Wan Ahmad, Wan Siti Halimatul Munirah and Ahmad Fauzi, Mohammad Faizal and Tan, Wooi Haw (2014) Content-based medical image retrieval system for infections and fluids in chest radiographs. In: Information Retrieval Technology. Lecture Notes in Computer Science (8870). Springer International Publishing, pp. 14-23. ISBN 978-3-319-12843-6

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Abstract

This paper presents a retrieval system based on the image’s content for the application in medical domain. This system is aimed to assist the radiologists in healthcare by providing pertinent supporting evidence from previous cases. It is also useful for the junior radiologists and medical students as teaching aid and training mechanism. The system is tested to retrieve the infections and fluid cases in chest radiographs. We explored several feature extraction techniques to see their effectiveness in describing the low-level property of the radiographs in our dataset. These features are Gabor transform, Discrete Wavelet Frame and Grey Level Histogram. The retrieval of these cases was also experimented with a number of distance metrics to observe their performances. Promising measures based on recognition rate are reported.

Item Type: Book Section
Additional Information: Book Subtitle: 10th Asia Information Retrieval Societies Conference, AIRS 2014, Kuching, Malaysia, December 3-5, 2014. Proceedings
Subjects: R Medicine > R Medicine (General)
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TJ Mechanical Engineering and Machinery
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 11 Feb 2015 05:11
Last Modified: 11 Feb 2015 05:11
URI: http://shdl.mmu.edu.my/id/eprint/5964

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