A SVM Based Automated Detection of Uterine Fibroids Using Gabor and Wavelet Features

A SVM Based Automated Detection of Uterine Fibroids Using Gabor and Wavelet Features

N. Sriraam (M.S. Ramaiah Institute of Technology, India), D. Nithyashri (Center for Biomedical Informatics and Signal Processing, Department of Biomedical Engineering, SSN College of Engineering, Nagar, India), L. Vinodashri (Center for Biomedical Informatics and Signal Processing, Department of Biomedical Engineering, SSN College of Engineering, Nagar, India) and P. Manoj Niranjan (Center for Biomedical Informatics and Signal Processing, Department of Biomedical Engineering, SSN College of Engineering, Nagar, India)
Copyright: © 2012 |Pages: 9
DOI: 10.4018/ijbce.2012010106

Abstract

This paper suggests an automated detection procedure for identification of ultrasonic imaging based uterine fibroids using Gabor filters and wavelet features with support vector machines as classifier. A classification accuracy of 100% is achieved for 86 test images using wavelet packet features, which indicates the potential suitability of the proposed scheme for clinical diagnosis.
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Proposed Scheme

Figure 1 shows the proposed scheme. The ultrasonic image scanning is done abdominally where the full bladder acts as an acoustic window into the pelvis.

Figure 1.

Proposed fibroid detection scheme

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