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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, IE, MI, SIP |
2016-05-19 14:00 |
Aichi |
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Automated Recognition of the Anatomical Attachment Location for Constructing the Skeletal Muscle Model in the Scapular Region Tatsuya Katafuchi (Gifu Univ.), Naoki Kamiya (Aichi Pref. Univ.), Xiangrong Zhou (Gifu Univ.), Hiroki kato (Gifu Univ. Hosp.), Huayue Chen (Univ. of Occupational and Environmental Health), Asumi Kamiya (Higashi Nagoya Hosp.), Chisako Muramatsu, Takeshi Hara, Masayuki Matsuo, Hiroshi Fujita (Gifu Univ.) SIP2016-6 IE2016-6 PRMU2016-6 MI2016-6 |
The effectiveness of automated recognition method using the skeletal muscle model has been demonstrated, as one of the a... [more] |
SIP2016-6 IE2016-6 PRMU2016-6 MI2016-6 pp.27-30 |
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 |
PRMU, MI, IE, SIP |
2015-05-15 13:30 |
Mie |
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Initial study of an automated recognition method of the supraspinatus muscle based on a muscle direction model in torso CT images Tatsuya Katafuchi (Gifu Univ.), Naoki Kamiya (Aichi Pref. Univ.), Masanori Kume (Gifu Univ.), Xiangrong Zhou, Huayue Chen (Grad. Sch. Gifu Univ.), Asumi Kamiya (Higashi Nagoya Hosp.), Chisako Muramatsu, Takeshi Hara, Hiroshi Fujita (Grad. Sch. Gifu Univ.) SIP2015-22 IE2015-22 PRMU2015-22 MI2015-22 |
The supraspinatus muscle is a functionally important muscle in four muscle groups that constitute the cuff. In this rese... [more] |
SIP2015-22 IE2015-22 PRMU2015-22 MI2015-22 pp.117-120 |
MI |
2014-01-26 13:30 |
Okinawa |
Bunka Tenbusu Kan |
Model-based approach to recognize the middle and inferior fibers of the trapezius muscle in torso CT images Haruka Kobayashi, Naoki Kamiya (Toyota Nat'l Col. Tech.), Asumi Kamiya (Higashi Nagoya National Hospital), Xiangrong Zhou, Huayue Chen, Chisako Muramatsu, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2013-68 |
We have proposed an automatic recognition method of skeletal muscle in torso CT images based on a shape model and positi... [more] |
MI2013-68 pp.69-72 |
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