DoG-based detection of architectural distortion in mammographic images for computer-aided detection

Takeshi Handa, Xiaoyong Zhang, Noriyasu Homma, Tadashi Ishibashi, Yusuke Kawasumi, Makoto Abe, Norihiro Sugita, Makoto Yoshizawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


We propose a new method for accurate detection of architectural distortion that is a typical sign of breast cancer lesions in mammograms and necessary to be detected and diagnosed properly at an early stage for improvement of the survival rate of patients. An essential core of the proposed method is to efficiently extract a new general feature of the architectural distortions whose lesional intensities are not only higher than those of the surroundings as well known, but also often lower. While conventional features such as radial lines and higher intensities are difficult to be extracted and/or insufficient for accurate detection, the candidate area with such a new feature can be extracted accurately by using a difference of Gaussian (DoG)-based filter and after that a thresholding technique can reduce the number of false positives. The detection based on the new feature is expected to be more accurate than conventional ones because it reflects more general characteristics of the lesion. The experimental result using the database commonly tested worldwide shows that performance of the proposed method is superior to those of conventional ones.

Original languageEnglish
Title of host publication2012 Proceedings of SICE Annual Conference, SICE 2012
PublisherSociety of Instrument and Control Engineers (SICE)
Number of pages6
ISBN (Print)9781467322591
Publication statusPublished - 2012
Event2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012 - Akita, Japan
Duration: 2012 Aug 202012 Aug 23

Publication series

NameProceedings of the SICE Annual Conference


Other2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012


  • Mammography
  • architectural distortion
  • breast cancer
  • computer-aided diagnosis and detection
  • difference of Gaussians

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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