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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 17 of 17  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
EMM, EA, ASJ-H 2021-11-15
13:30
Online Online [Poster Presentation] A Web-Based Learning Support System for Mammography Reading
Ryo Oyake, Madoka Hasegawa, Kazuki Yamato (Utsunomiya Univ.), Masako Sakuragi (Jichi Medical Univ.), Mikio Shiozawa (TMC Shimotsuga), Yoshihide Nakamura (RTC) EA2021-37 EMM2021-64
The number of breast cancer patients is increasing year by year. Early detection of breast cancer is becoming more impor... [more] EA2021-37 EMM2021-64
pp.57-62
MI 2016-01-19
16:53
Okinawa Bunka Tenbusu Kan Similar image search of breast masses by combination of mammograms and ultrasound images -- Study of psychophysical similarity measure based on multi-dimensional scaling --
Tetsuya Takahashi, Chisako Muramatsu, Yuya Hiramatsu (Gifu Univ.), Takako Morita (Nagoya Medical Center), Takeshi Hara (Gifu Univ.), Tokiko Endo (Higashi Nagoya National Hospital), Hiroshi Fujita (Gifu Univ.) MI2015-107
In recent years, use of both mammograms and ultrasound images is recommended in breast cancer screening. Computer-aided ... [more] MI2015-107
pp.161-164
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 2013-01-24
13:10
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
pp.89-94
MI 2013-01-24
14:25
Okinawa Bunka Tenbusu Kan [Fellow Memorial Lecture] Integrated analysis of several views of medical images for largely deformed organs
Yasuyo Kita (AIST) MI2012-83
In the autumn of 2012, the author had the honor of being given IEICE Fellow for contributions to
image understanding an... [more]
MI2012-83
pp.109-112
MI 2011-07-12
15:10
Hokkaido Hokkaido University Denoising of mammographic images using hierarchical correlations of the coefficients of discrete stationary wavelet transforms
Eri Matsuyama, Du-Yih Tsai (Niigata Univ.), Yongbum Lee, Haruyuki Watanabe (Niigata Univ), Masaki Tsurumaki (Nakajyo Central HP), Atsuko Takada (Niigata Univ) MI2011-38
In this report, we propose an effective denoising method to attempt to denoise mammographic images. The method is based ... [more] MI2011-38
pp.31-36
MI 2011-07-13
14:30
Hokkaido Hokkaido University Development of computer-aided classification system on mammograms and study on method of presenting CAD output
Tomoko Matsubara (Nagoya Bunri Univ), Takeshi Hara (Gifu Univ), Norimitsu Shinohara (GUMS), Takako Morita (NMC), Tae Niwa (Toyota Kosei Hosp), Tokiko Endo (NMC), Hiroshi Fujita (Gifu Univ) MI2011-46
Commercialized CAD (computer-aided detection) systems present only the output of the computer. If physicians understand ... [more] MI2011-46
pp.73-76
PRMU, IE, MI 2010-05-14
11:30
Aichi Chubu Univ. Detection Method of Calcification Shade and Coarse Calcification in Mammogram
Takeshi Nogi, Yuki Hiramatsu, Yohei Fukumizu, Hironori Yamauchi (Ritsumeikan Univ.), Hirotomi Chou, Yoshimasa Kurumi (Shiga Univ. of Medical Science) IE2010-37 PRMU2010-25 MI2010-25
In recent years, researches for computer aided diagnosis (CAD) systems of mammograms have been actively conducted. We pr... [more] IE2010-37 PRMU2010-25 MI2010-25
pp.131-136
IPSJ-SLDM, VLD, CPSY, RECONF [detail] 2010-01-26
13:55
Kanagawa Keio Univ (Hiyoshi Campus) Computer Aided Detection System Implementation for recognize cancer in Mammograms over a FPGA
Yessica Suarez Henandez (IPN/Univ. of Electro-Comm.), Sayaka Akioka, Tsutomu Yoshinaga, Volodymyr Ponomaryov, Gonzalo Duchen Sanchez (Univ. of Electro-Comm.) VLD2009-77 CPSY2009-59 RECONF2009-62
A Computer Aided Detection, CAD, system was implemented using a FPGA development board to recognize cancer in Mammogram.... [more] VLD2009-77 CPSY2009-59 RECONF2009-62
pp.47-52
NC, MBE
(Joint)
2009-11-13
11:50
Miyagi Tohoku Univ. Comparison and Examination of Detection Algorithm of Calcification Shadows on Mammograms
Hiroki Tsukinokisawa, Yohei Fukumizu, Hironori Yamauchi (Ritsumeikan Univ.), Hirotomi Chou, Yoshimasa Kurumi (Shiga Univ. of Medical Science) MBE2009-66
Recently, active researches have been done for computer-aided diagnosis system of mammography. Calcifications are seen a... [more] MBE2009-66
pp.25-30
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 2008-07-16
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
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
MI 2006-01-28
13:00
Okinawa Miyakojimashi-Chuo-Kouminkan Improvement of computer-aided detection system for mammogram by interval change detection
Shogo Takeuchi, Mitsutaka Nemoto, Akinobu Shimizu, Hidefumi Kobatake (TUAT), Hideya Takeo (Fuji Film), Shigeru Nawano (NCCHE)
Computer-Aided Detection system has been developed for the purpose of diagnosis of current mammogram. In this paper, we ... [more] MI2005-122
pp.57-60
MI 2005-01-21
14:40
Okinawa Univ. of the Ryukus False-Positive Elimination of Mammographic Masses Using Similar Image Retrieval on Mammogram CAD System
Koichi Kuriyama, Toshiaki Nakagawa, Takeshi Hara, Hiroshi Fujita (Gifu Univ.), Tokiko Endo (Nagoya Medical Center), Takuji Iwase (Cancer Institute Hospital)
We have been developing a method of a false-positive elimination of mammographic masses using similar image retrieval on... [more] MI2004-71
pp.115-120
 Results 1 - 17 of 17  /   
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