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.
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Wan Ahmad, W.S.H.M., W Zaki, W.M.D., Ahmad Fauzi, M.F., Haw, T.W. (2014). Content-Based Medical Image Retrieval System for Infections and Fluids in Chest Radiographs. In: Jaafar, A., et al. Information Retrieval Technology. AIRS 2014. Lecture Notes in Computer Science, vol 8870. Springer, Cham. https://doi.org/10.1007/978-3-319-12844-3_2
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DOI: https://doi.org/10.1007/978-3-319-12844-3_2
Publisher Name: Springer, Cham
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