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, D. Nithyashri, L. Vinodashri, P. Manoj Niranjan
Copyright: © 2012 |Pages: 9
DOI: 10.4018/ijbce.2012010106
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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

ijbce.2012010106.f01

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