Presentation 2009-05-28
Improvement of automated detection for architectural distortion on mammograms
Yuuki SHIBATA, Tomoko MATSUBARA, Takeshi HARA, Hiroshi FUJITA, Tokiko ENDO, Takuji IWASE,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We have been developing an automated detection method for architectural distortion that is difficult to diagnose breast cancer. In our previous method, it was difficult to detect an architectural distortion locating around the breast border. In addition, if the detected area shifted slightly from the gold standard area, our system judged it as the false positive by mistake. Therefore, we suggest to the methods for identify distorted area around breast border from false positive by the variance, and for change the criteria to judge true positive. We also examine the effective of features using the discriminant analysis for eliminating the false positives. Our new method was evaluated by our original database that consisted of 102 abnormal and 73 normal images. As a result, the detection performance of our new methods showed better than that of the previous method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Breast cancer / Architectural distortion / Mammogram / Computer-aided diagnosis
Paper # IE2009-21,PRMU2009-12,MI2009-12
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Conference Information
Committee PRMU
Conference Date 2009/5/21(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Improvement of automated detection for architectural distortion on mammograms
Sub Title (in English)
Keyword(1) Breast cancer
Keyword(2) Architectural distortion
Keyword(3) Mammogram
Keyword(4) Computer-aided diagnosis
1st Author's Name Yuuki SHIBATA
1st Author's Affiliation Graduate School of Medicine, Gifu University()
2nd Author's Name Tomoko MATSUBARA
2nd Author's Affiliation School of Information Culture, Nagoya Bunri University
3rd Author's Name Takeshi HARA
3rd Author's Affiliation Graduate School of Medicine, Gifu University
4th Author's Name Hiroshi FUJITA
4th Author's Affiliation Graduate School of Medicine, Gifu University
5th Author's Name Tokiko ENDO
5th Author's Affiliation Nagoya Medical Center
6th Author's Name Takuji IWASE
6th Author's Affiliation Cancer Institute Hospital
Date 2009-05-28
Paper # IE2009-21,PRMU2009-12,MI2009-12
Volume (vol) vol.109
Number (no) 64
Page pp.pp.-
#Pages 4
Date of Issue