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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2020-01-29 13:20 |
Okinawa | OKINAWAKEN SEINENKAIKAN | [Poster Presentation]
Computerized Classification Method of Benign and Malignant Masses in Multiple MRI Sequences using Convolutional Neural Network Yuichi Mima, Akiyoshi Hizukuri, Ryohei Nakayama (Ritsumeikan Univer)  MI2019-77 |
Breast magnetic resonance imaging (MRI) has a higher sensitivity of early breast cancer than mammography and ultrasonogr... [more] | MI2019-77 pp.57-59 |
| 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 |
| 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 | 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 |
| MI | 2009-01-19 13:45 |
Overseas | National Taiwan University | Using Tumor Morphology to Classify Benign and Malignant Solid Breast Masses:Speckle Reduction Imaging (SRI) versus Non-SRI Ultrasound Imaging Hsien-Chang Chuang (Tunghai Univ.), Dar-Ren Chen (Changhua Christian Hospital), Yu-Len Huang (Tunghai Univ.) MI2008-64 |
In this paper, we attempted to compare the diagnostic performance of speckle reduction imaging (SRI) ultrasound and non-... [more] | MI2008-64 pp.33-36 |
| 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 | 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 |
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