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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 35 of 35 [Previous]  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MW 2013-06-27
15:05
Aichi Nagoya Institute of Tech. [Special Talk] Development of the Microwave Mammography
Yoshihiko Kuwahara (Shizuoka Univ.) MW2013-37
A microwave mammography setup for clinical testing was developed and used to successfully carry out an initial clinical ... [more] MW2013-37
pp.41-46
SANE 2011-08-24
15:55
Niigata Niigata University Two step approach for breast cancer detection using Particle Swarm Optimization
Toshifumi Moriyama (Nagasaki Univ.), Zhiqi Meng (Fukuoka Univ.), Takashi Takenaka (Nagasaki Univ.) SANE2011-61
A hybrid method of forward-backward time-stepping algorithm and particle swarm optimization is applied to microwave imag... [more] SANE2011-61
pp.31-35
MI 2011-01-20
11:30
Okinawa Naha-Bunka-Tembusu Development of an automated mass detection technique based on 3D features in whole-breast ultrasound images
Fukutaro Ishihara, Daisuke Fukuoka, Chisako Muramatsu, Takeshi Hara (Gifu Univ), Etsuo Takada (Dokkyo Medical Univ), Tokiko Endo (Nagoya Medical Center), Takako Morita (Chunichi Hospital), Hiroshi Fujita (Gifu Univ) MI2010-97
In breast cancer screening, a large amount of data is acquired from many patients. Therefore radiologists may overlook l... [more] MI2010-97
pp.87-91
US 2009-05-29
14:45
Tokyo   The Writing Sample for the Conference
Yoshinori Hayakawa, Sayuri Yoshino, Kiichi Tsuji, Kazuhiro Ando (Toin Univ. of Yokohama), Kiyomi Ishida (Teikyo Junior College) US2009-11
Computer simulation using Finite Element Method(AMSYS10.0) was achieved assuming fat (Elasticity modulus 18kPa), mammary... [more] US2009-11
p.19
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 2009-01-19
09:40
Overseas National Taiwan University [Keynote Address] Quantitative Image Analysis of Breast MRI
Maryellen L. Giger (Univ. of Chicago) MI2008-55
The role of breast MRI in the management of the cancer patient is increasing. This lecture will provide an overview of ... [more] MI2008-55
p.1
MI 2009-01-19
13:30
Overseas National Taiwan University [Invited Talk] Computer-aided Diagnosis for 2D, 3D, and Whole Breast Ultrasound
Ruey-Feng Chang (National Taiwan Univ.) MI2008-63
The breast cancer is the most frequently cancer in women and it is the second rank for the death caused by cancer after ... [more] MI2008-63
p.31
MI 2009-01-19
14:05
Overseas National Taiwan University Development of whole breast ultrasound system with CAD function
Yuji Ikedo, Daisuke Fukuoka, Gobert Lee, Takeshi Hara, Hiroshi Fujita (Gifu Univ.), Etsuo Takada (Dokkyo Medical Univ.), Tokiko Endo (Nagoya Medical Center), Takako Morita (Chunichi Hospital) MI2008-66
We have developed a whole breast ultrasound (US) system for breast cancer screening. The system consisted of a whole bre... [more] MI2008-66
pp.41-42
MI 2009-01-20
14:30
Overseas National Taiwan University [Poster Presentation] Automated Identification of Clustered Microcalcifications in Digital Mammography
Yi-Jhe Huang, Da-Chuan Cheng (China Medical Univ.), Po-Pang Tsai, Wu-Chung Shen (China Medical Univ. Hospital) MI2008-153
Computer-aided diagnosis (CAD) system for early diagnosis of breast cancer has been developed as a useful tool for radio... [more] MI2008-153
pp.431-434
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 2008-07-16
11:00
Hokkaido Sapporo Medical University Developments of category recognition system and comprehensive visualization in mammogram
Ryo Yoneyama, Takeshi Hara (Gifu Univ.), Tomoko Matsubara (Nagoya Bunri Univ.), Norimitsu Shinohara (GUMS), Takako Morita (Chunichi Hosp.), Tae Niwa (Nagoya Univ.), Tokiko Endo (Nagoya Medical Center), Hiroshi Fujita (Gifu Univ.) MI2008-19
Mammography is best role for the early detection of breast cancer. Because of this, it has been introduced in mass scree... [more] MI2008-19
pp.1-4
NC, MBE
(Joint)
2008-03-14
16:10
Tokyo Tamagawa Univ Biological informations obtained by using active thermography inspection technique
Minako Obara, Kazutaka Mitobe, Shizuka Takahashi, Yoshihisa Katayose, Junichi Ogawa, Noboru Yoshimura (Akita Univ.) MBE2007-137
There are several tests for breast cancer including X-ray mammography, ultrasound diagnosis etc. Among them, the infrare... [more] MBE2007-137
pp.129-132
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
NLP 2007-01-17
11:20
Kagawa   Midpoint Validation Method of Neural Networks for Pattern Classification Problems
Yasunori Sakamoto (Toyama Univ.), Hiroki Tamura, Koichi Tanno (Miyazaki Univ.), Kazuya Yamashita, Masahiro Ishii, Masaaki Toudou (Toyama Univ.)
In this paper, we propose a midpoint validation method which improves the generalization of neural networks. The problem... [more] NLP2006-114
pp.19-24
 Results 21 - 35 of 35 [Previous]  /   
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