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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 #
MI 2022-01-26
11:31
Online Online Investigation of post implementation training for medical image reading support systems
Chisako Muramatsu (Shiga Univ), Mizuho Nishio (Kobe Univ), Masahiro Yakami (Kyoto Univ), Takeshi Kubo (Tenri Hospital), Mikinao Ooiwa (Nagoya Medical Center), Hiroshi Fujita (Gifu Univ) MI2021-58
It is desirable to have robust image interpretation support systems that can obtain the equivalent accuracy for images a... [more] MI2021-58
pp.55-58
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 2015-03-03
15:10
Okinawa Hotel Miyahira [Special Talk] Creation of Medical Imaging Engineering Using X-Ray Optics due to Refraction Called X-Ray Dark-Field Imaging and Its Application to Multidisciplinary Computational Anatomy
Masami Ando (TUS), Tetsuya Yuasa (YU), Naoki Sunaguchi (GU), Kensaku Mori (NU), Yoshifumi Suzuki (KIT), Shu Ichihara (Nagoya Medical Center), Rajiv Gupta (MGH) MI2014-113
Using a thickness controlled Laue type angle analyzer one can obtain high spatial resolution and high contrast imaging. ... [more] MI2014-113
pp.295-300
MI 2014-01-27
13:30
Okinawa Bunka Tenbusu Kan Investigation on Classification of Benign and Malignant Masses on Mammograms by Use of Modified Local Ternary Pattern
Chisako Muramatsu, Min Zhang, Takeshi Hara (Gifu Univ), Tokiko Endo (Nagoya Medical Center), Hiroshi Fujita (Gifu Univ) MI2013-118
We have been investigating an image analysis method for assisting the differential diagnosis of breast masses on mammogr... [more] MI2013-118
pp.327-330
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 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
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
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
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 2009-01-21
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 2008-01-26
13:00
Okinawa Naha-Bunka-Tenbusu Computer-aided classification system for mammographic masses -- Preliminary study on comprehensive visualization of CAD output --
Hideki Nishio, Toshiaki Nakagawa, Takeshi Hara (Gifu Univ.), Tomoko Matsubara (Nagoya Bunri Univ.), Takako Morita (Chunichi Hospital), Tokiko Endo (Nagoya Medical Center), Hiroshi Fujita (Gifu Univ.) MI2007-140
 [more] MI2007-140
pp.419-422
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 Automated detection method for architectural distortion based on analysis of structure of mammary gland on mammograms
Tomoko Matsubara (Nagoya Bunri Univ.), Takanari Makita (Gifu Univ.), Yoriko Inenaga (Konica Minolta Medical & Graphic, Inc), Takeshi Hara, Hiroshi Fujita (Gifu Univ.), Tokiko Endo (National Hospital Organization Nagoya Medical Center), Takuji Iwase (The Cancer Institute Hospital of JFCR)
 [more] MI2005-120
pp.49-52
MI 2005-09-22
15:00
Overseas Korea Univ. Kuro Hospital Automated Lesion Segmentation Using an Modified Active Contour Model for Mammographic Masses
T. Nakagawa, T. Hara, H. Fujita (Gifu Univ.), T. Iwase (Cancer Institute Hospital), T. Endo (Nagoya Medical Center)
 [more]
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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