Paper Abstract and Keywords |
Presentation |
2013-01-24 13:10
Improvement of automated method for detecting architectural distortion using assessment of fibroglandular breast tissue density on mammograms Nami Yamada (Gifu Univ.), Tomoko Matsubara (Nagoya Bunri Univ.), Akinori Tsunomori (Konica Minolta MG), Takeshi Hara, Chisako Muramatsu (Gifu Univ.), Tokiko Endo (Nagoya Medical Center), Hiroshi Fujita (Gifu Univ.) MI2012-79 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Architectural distortion is one of very important findings in interpreting breast cancer on mammograms. Therefore we have been trying to improve the performance of our automated method for detecting spiculated architectural distortion on mammography CADe. The performance of our system is high, but the system still has a lot of FPs. Our resent research is to reduce FPs. Mammograms are different greatly in individual, but we have been approaching all of the mammograms with same method. Our purpose of this research is to divide to four classes depending on quantity of mammary gland and fat on mammogram before the detection method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Mammogram / CADe (computer-aided detection) / distortion / Mammary gland / Fat on mammogram / / / |
Reference Info. |
IEICE Tech. Rep., vol. 112, no. 411, MI2012-79, pp. 89-94, Jan. 2013. |
Paper # |
MI2012-79 |
Date of Issue |
2013-01-17 (MI) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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MI2012-79 |
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