A hybrid detection scheme of architectural distortion in mammograms using iris filter and Gabor filter

Mizuki Yamazaki, Atsushi Teramoto, Hiroshi Fujita

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

Architectural distortion in mammograms is the most frequently missed finding among breast cancer findings, the improvement of detection accuracy in existing commercial CAD software remains a challenge. In this study, in order to improve the detection accuracy of architectural distortion in mammography, we propose a hybrid automatic detection method that combines with the enhancement method of the concentration of line structure and massive pattern. In the method, the detection of the concentration of the line structure is conducted by the adaptive Gabor filter, and the enhancement of the massive pattern is performed by the iris filter. The concentration index is calculated from these filtered images; the lesion candidate regions are obtained. As for false positive (FP) reduction, 15 shape features are calculated from the candidate regions. Then, they are given to the support vector machine; the candidate regions are classified either as true positive or FP. In the experiment, we compared the results of the proposed method and physician interpretation report using 200 images (63 architectural distortions) from a digital database of screening mammography. Experimental results indicate that our method may be effective to improve the performance of computer aided detection in mammography.

本文言語English
ホスト出版物のタイトルBreast Imaging - 13th International Workshop, IWDM 2016, Proceedings
編集者Kristina Lang, Anders Tingberg, Pontus Timberg
出版社Springer Verlag
ページ174-182
ページ数9
ISBN(印刷版)9783319415451
DOI
出版ステータスPublished - 01-01-2016
イベント13th International Workshop on Breast Imaging, IWDM 2016 - Malmo, Sweden
継続期間: 19-06-201622-06-2016

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9699
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other13th International Workshop on Breast Imaging, IWDM 2016
CountrySweden
CityMalmo
Period19-06-1622-06-16

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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