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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU | 2019-10-19 10:45 |
Tokyo | Localization of Diffuse Lung Deseases' Lesions and Quantification of Their Volumes Using Deep Learning Hiroaki Takebe, Yasutaka Moriwaki, Nobuhiro Miyazaki, Takayuki Baba (FUJITSU LAB.), Hiroaki Terada, Toru Higaki, Kazuo Awai (Hiroshima Univ.), Hirotaka Kobayashi, Machiko Nakagawa, Masahiko Shimada, Kenji Kitayama (FUJITSU)  PRMU2019-44 |
Changes in the amount of lesion over time are important information for diagnostic imaging of diffuse lung disease in wh... [more] | PRMU2019-44 pp.67-72 |
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| MBE, NC | 2019-10-11 15:00 |
Miyagi | Analysis of diffuse lung disease shadows using Bolasso feature selection method Akihiro Endo (UEC), Kenji Nagata (NIMS), Shoji Kido (Osaka Univ.), Hayaru Shouno (UEC) MBE2019-33 NC2019-24 |
Diffuse lung disease is an intractable disease and abnormal shadows appear on lung X-ray CT images. Since various patte... [more] |
MBE2019-33 NC2019-24 pp.23-27 |
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| MI | 2019-01-23 14:00 |
Okinawa | Segmentation for diffuse lung disease opacities on CT images using U-Net and residual U-Net Kanako Murakami, Shoji Kido, Yasushi Hirano, Shingo Mabu (Yamaguchi Univ.), Kenji Kondo (AIST/Panasonic), Jun Ozawa (AIST) MI2018-102 |
Segmentation is important for diagnosis of diffuse lung diseases (DLD) as same as classification. In recent years, a lot... [more] | MI2018-102 pp.175-179 |
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| PRMU, SP | 2017-06-23 11:00 |
Miyagi | Similar CT image retrieval method based on lesion natures and their three-dimensional distribution Hiroaki Takebe, Yasutaka Moriwaki, Takayuki Baba (FUJITSU LAB.), Hiroaki Terada, Toru Higaki, Kazuo Awai (Hiroshima Univ.), Akio Ozawa, Kohei Murao, Yasuharu Ogino (FUJITSU), Mengjiao Wang, Rujie Liu (FRDC) PRMU2017-35 SP2017-11 |
When radiologists encounter a difficult case to diagnose, retrieval of morphologically similar cases in which final diag... [more] | PRMU2017-35 SP2017-11 pp.57-62 |
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| MI | 2015-09-08 14:00 |
Tokyo | Univ. of Electro-communications | Feature Selection for Diffuse Lung Disease using MCMC Method Makoto Koiwai (UEC), Maki Isogai (Info Techno Asahi), Hayaru Shouno (UEC), Shoji Kido (Yamaguchi Univ.) MI2015-52 |
(To be available after the conference date) [more] | MI2015-52 pp.19-24 |
| NC, MBE | 2015-03-16 10:55 |
Tokyo | Tamagawa University | Feature Analysis for Diffuse Lung Disease with Deep Convolutional Neural Network Satoshi Suzuki, Hayaru Shouno (UEC), Shoji Kido (Yamaguchi Univ.) MBE2014-163 NC2014-114 |
The computer aided diagnosis (CAD) system is desired to develop for supporing physicians to diagnose the diffuse lung di... [more] | MBE2014-163 NC2014-114 pp.259-264 |
| MI | 2015-03-02 11:18 |
Okinawa | Hotel Miyahira | Setting of Volume-of-Interests of Pattern Classification for Diffuse Lung Diseases using Watershed algorithm on CT images Yumi Takeshita (Yamaguchi Univ.), Rie Tachibana (OCMT), Yasushi Hirano, Shoji Kido (Yamaguchi Univ.) MI2014-63 |
We propose a method for the classification of seven kinds of diffuse lung disease patterns with arbitrary region of inte... [more] | MI2014-63 pp.55-58 |
| MI | 2014-01-27 15:45 |
Okinawa | Bunka Tenbusu Kan | Similar image search of diffuse lung diseases on 3D CT Images Youhei Yamashita (Yamaguchi Univ.), Rui Xu (Ritsumeikan Univ.), Yasushi Hirano, Shoji Kido (Yamaguchi Univ.), Tomoko Gyobu, Osamu Honda, Noriyuki Tomiyama (Osaka Univ.) MI2013-125 |
Diffuse lung diseases are widely distributed in the lungs. The radiologist uses the previous image when the diagnosis is... [more] | MI2013-125 pp.361-364 |
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