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Journal of Medical Imaging

Incorporating texture features in a computer-aided breast lesion diagnosis system for automated three-dimensional breast ultrasound
Author(s): Haixia Liu; Tao Tan; Jan van Zelst; Ritse Mann; Nico Karssemeijer; Bram Platel
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Paper Abstract

We investigated the benefits of incorporating texture features into an existing computer-aided diagnosis (CAD) system for classifying benign and malignant lesions in automated three-dimensional breast ultrasound images. The existing system takes into account 11 different features, describing different lesion properties; however, it does not include texture features. In this work, we expand the system by including texture features based on local binary patterns, gray level co-occurrence matrices, and Gabor filters computed from each lesion to be diagnosed. To deal with the resulting large number of features, we proposed a combination of feature-oriented classifiers combining each group of texture features into a single likelihood, resulting in three additional features used for the final classification. The classification was performed using support vector machine classifiers, and the evaluation was done with 10-fold cross validation on a dataset containing 424 lesions (239 benign and 185 malignant lesions). We compared the classification performance of the CAD system with and without texture features. The area under the receiver operating characteristic curve increased from 0.90 to 0.91 after adding texture features (p<0.001).

Paper Details

Date Published: 25 July 2014
PDF: 8 pages
J. Med. Img. 1(2) 024501 doi: 10.1117/1.JMI.1.2.024501
Published in: Journal of Medical Imaging Volume 1, Issue 2
Show Author Affiliations
Haixia Liu, Radboud Univ. Nijmegen Medical Ctr. (The Netherlands)
Univ. of Nottingham Malaysia Campus (Malaysia)
Tao Tan, Radboud Univ. Nijmegen Medical Ctr. (The Netherlands)
Jan van Zelst, Radboud Univ. Nijmegen Medical Ctr. (The Netherlands)
Ritse Mann, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
Nico Karssemeijer, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
Bram Platel, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)


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