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Proceedings Paper

Computer-aided diagnosis of mammographic masses using geometric verification-based image retrieval
Author(s): Qingliang Li; Weili Shi; Huamin Yang; Huimao Zhang; Guoxin Li; Tao Chen; Kensaku Mori; Zhengang Jiang
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Paper Abstract

Computer-Aided Diagnosis of masses in mammograms is an important indicator of breast cancer. The use of retrieval systems in breast examination is increasing gradually. In this respect, the method of exploiting the vocabulary tree framework and the inverted file in the mammographic masse retrieval have been proved high accuracy and excellent scalability. However it just considered the features in each image as a visual word and had ignored the spatial configurations of features. It greatly affect the retrieval performance. To overcome this drawback, we introduce the geometric verification method to retrieval in mammographic masses. First of all, we obtain corresponding match features based on the vocabulary tree framework and the inverted file. After that, we grasps the main point of local similarity characteristic of deformations in the local regions by constructing the circle regions of corresponding pairs. Meanwhile we segment the circle to express the geometric relationship of local matches in the area and generate the spatial encoding strictly. Finally we judge whether the matched features are correct or not, based on verifying the all spatial encoding are whether satisfied the geometric consistency. Experiments show the promising results of our approach.

Paper Details

Date Published: 3 March 2017
PDF: 8 pages
Proc. SPIE 10134, Medical Imaging 2017: Computer-Aided Diagnosis, 101342W (3 March 2017); doi: 10.1117/12.2255799
Show Author Affiliations
Qingliang Li, Changchun Univ. of Science and Technology (China)
Weili Shi, Changchun Univ. of Science and Technology (China)
Huamin Yang, Changchun Univ. of Science and Technology (China)
Huimao Zhang, The First Hospital of Jilin Univ. (China)
Guoxin Li, Nanfang Hospital, Southern Medical Univ. (China)
Tao Chen, Nanfang Hospital, Southern Medical Univ. (China)
Kensaku Mori, Nagoya Univ. (Japan)
Zhengang Jiang, Changchun Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10134:
Medical Imaging 2017: Computer-Aided Diagnosis
Samuel G. Armato; Nicholas A. Petrick, Editor(s)

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