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Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2013-01-24
Okinawa Bunka Tenbusu Kan 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
Architectural distortion is one of very important findings in interpreting breast cancer on mammograms. Therefore we hav... [more] MI2012-79
MI 2009-01-20
Overseas National Taiwan University [Poster Presentation] Automated segmentation and analysis of mammary gland regions in CT images using probabilistic atlas
Mingxu Han, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita, Keiko Sugisaki, Huayue Chen, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroaki Hoshi (GifuUniv.) MI2008-154
The identification of mammary gland regions can provide useful information for breast tumor diagnosis. This study propos... [more] MI2008-154
MBE 2007-11-22
Miyagi Faculty of Engineering, Tohoku Univ. Numerical analysis of Chirp Pulse Microwave Breast Radar (CP-MBR) -- Simulation on the breast model with mammary gland --
Yasuaki Miyazaki, Michio Miyakawa, Nozomu Ishii (Niigata Univ.) MBE2007-69
We are going to detect the breast tumor by using two kinds of microwave imaging systems. One is Chirp Pulse Microwave Co... [more] MBE2007-69
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