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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 6件中 1~6件目  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2016-01-20
13:05
Okinawa Bunka Tenbusu Kan Development of automated detection method for architectural distortion based on the medical knowledge on mammograms
Akihiro Ito (Gifu Univ.), Tomoko Matsubara (Nagoya bunri Univ.), Tsunomori Akinori (KONICA MINOLTA), Takeshi Hara, Muramatsu chisako (Gifu Univ.), Tokiko Endo (Higashi Nagoya Hospital), Fujita Hiroshi (Gifu Univ.) MI2015-120
Architectural distortion is one of very important findings in interpreting breast cancer on mammograms. However, one of ... [more] MI2015-120
pp.229-232
MI 2014-01-26
13:30
Okinawa Bunka Tenbusu Kan Computerized Quantification Method for Architectural Distortion on Breast Ultrasonographic Image and Its Application to the Histological Classification for Breast mass
Akiyoshi Hizukuri, Ryohei Nakayama, Yumi Kashikura, Haruhiko Takase, Hiroharu Kawanaka, Tomoko Ogawa, Shinji Tsuruoka (Mie Univ.) MI2013-73
An architectural distortion is one of the important indications related to breast cancer on ultrasonographic images. It ... [more] MI2013-73
pp.91-95
PRMU, IE, MI 2009-05-28
14:00
Gifu Gifu Univ. Improvement of the automated detection for architectural distortion on mammograms
Yuuki Shibata (Gifu Univ.), Tomoko Matsubara (Nagoya Bunri Univ.), Takeshi Hara, Hiroshi Fujita (Gifu Univ.), Tokiko Endo (Nagoya Medical Center), Takuji Iwase (Cancer Institure Hospital) IE2009-21 PRMU2009-12 MI2009-12
We have been developing an automated detection method for architectural distortion that is difficult to diagnose breast ... [more] IE2009-21 PRMU2009-12 MI2009-12
pp.65-68
MI 2009-01-21
15:15
Overseas National Taiwan University Computer-aided Detection for Spiculated Architectural Distortion on Mammograms
Tomoko Matsubara (Nagoya Bunri Univ.), Yuuki Shibata, Takeshi Hara, Hiroshi Fujita (Gifu Univ.), Tokiko Endo (Nagoya Medical Center), Takuji Iwase (Cancer Institute Hospital) MI2008-199
We have developed an automated detection method for architectural distortion that is difficult to diagnose breast cancer... [more] MI2008-199
pp.639-640
MI 2008-01-26
13:00
Okinawa Naha-Bunka-Tenbusu Automated detection for architectural distortion based on analysis of line structure in breast area on mammograms
Takanari Makita (Gifu Univ.), Tomoko Matsubara (Nagoya Bunri Univ.), Takeshi Hara, Hiroshi Fujita (Gifu Univ.), Tokiko Endo (Nagoya Medical Center), Takuji Iwase (Cancer Institute Hospital) MI2007-139
We have developed an automated detection method for architectural distortion that is difficult to diagnose breast cancer... [more] MI2007-139
pp.415-418
MI 2007-07-11
13:00
Tokyo Siemens Forum Automated detection for architectural distortion based on assessment of concentration of mammary gland on mammograms
Takanari Makita (Gifu Univ.), Tomoko Matsubara (Nagoya Bunri Univ.), Takeshi Hara, Hiroshi Fujita (Gifu Univ.), Tokiko Endo (Nagoya Medical Center), Takuji Iwase (Cancer Institute Hospital) MI2007-30
Mammography is best role for the early detection of breast cancer. Because of this, it has been introduced in mass scree... [more] MI2007-30
pp.17-20
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