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A Sequential Feature Filtering Approach for Breast Magnetic Resonance Image Similarity Study
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- Authors
- Byung K. Jung, Wei Wang, Sung Y. Shin, Hyung Do Choi, Jungki Pack
- Issue Date
- 2013-08
- Citation
- Information : An International Interdisciplinary Journal, v.16, no.8(B), pp.6259-6268
- ISSN
- 1343-4500
- Publisher
- International Information Institute
- Language
- English
- Type
- Journal Article
- Abstract
- In this paper, we propose a new breast Magnetic Resonant Image (MRI) retrieval method based on tumor shape feature similarity. In this proposed approach we assume the images are classified into single objects through other known classif챠cat챠on methods such as K-means or Support Vector Machine (SVM) algorithms. From collected binary images of tumor objects, we develop a new algorithm that has less computation but equal accuracy as using shape feature - the curvature of the contour. We have experimented with classified binary tumor object images 첫om actual breast MRIs used in real medical diagnosis. Actual experimental results show that the proposed algorithm achieves equal retrieval results against traditional image retrieval using curvature of the contour with higher efficiency. © 2013 International Information Institute.
- KSP Keywords
- Feature filtering, Feature similarity, Higher efficiency, Image retrieval, Image similarity, Magnetic resonance(MR), Magnetic resonance images, Magnetic resonant, Medical diagnosis, Single objects, Support VectorMachine(SVM)