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Technical Committee on Medical Imaging (MI) (Searched in: 2022)
Search Results: Keywords 'from:2022-09-15 to:2022-09-15'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2022-09-15 10:00 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Automatic Multi-Measure Classification of Hip Osteoarthritis Based on Digitally-Reconstructed Radiographs using Deep Learning Masachika Masuda, Mazen Soufi, Yoshito Otake (NAIST), Keisuke Uemura (Osaka Univ.), Masaki Takao (Ehime Univ.), Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST)  MI2022-49 |
Hip Osteoarthritis (HOA) is usually diagnosed by radiographs. In addition to the degree of cartilage degeneration, the d... [more] | MI2022-49 pp.1-4 |
| MI | 2022-09-15 10:15 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Musculoskeletal decomposition for high-fidelity body composition analysis from a plain x-ray image Yi Gu, Yoshito Otake (NAIST), Keisuke Uemura (Osaka Univ.), Mazen Soufi (NAIST), Masaki Takao (Ehime Univ.), Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2022-50 |
[more] | MI2022-50 pp.5-9 |
| MI | 2022-09-15 10:30 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Evaluation of Patient-specific musculoskeletal simulation using MRI images in multiple pose Junya Ino, Yoshito Otake, Mazen Soufi (NAIST), Keisuke Uemura, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2022-51 |
We aim at developing a patient-specific musculoskeletal simulation approach for predicting musculoskeletal behavior of m... [more] | MI2022-51 pp.10-15 |
| MI | 2022-09-15 10:45 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Virtual Standing Position Transformation from Supine CT using Whole-body Upright CT Scanner Tomoki Hakotani, Yoshito Otake, Mazen Soufi (NAIST), Masahiro Hashimoto, Yoshitake Yamada, Minoru Yamada, Yoichi Yokoyama (Keio Univ.), Keisuke Uemura (Osaka Univ.), Masaki Takao (Ehime Univ.), Nobuhiko Sugano (Osaka Univ.), Masahiro Jinzaki (Keio Univ.), Yoshinobu Sato (NAIST) MI2022-52 |
The modeling of human motion relies on the accurate representation of the deformations in the musculoskeletal geometry t... [more] | MI2022-52 pp.16-19 |
| MI | 2022-09-15 11:10 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Automated Detection of Culprit Lesion in Acute Coronary Syndrome from X-ray Coronary Angiography using Ensemable-YOLOV5 Xiaozhi Ma, Toru Kurihara, Jun Yu (Kochi Univ. of Tech.), Osamu Kurihara, Masamichi Takano (Nippon Medical School Chiba Hokusoh Hospital) MI2022-53 |
[more] | MI2022-53 pp.20-25 |
| MI | 2022-09-15 11:25 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Esophageal Tumor Segmentation in Endoscopic Images by Deep Learning Zehao Li, Ken'ichi Morooka (Okayama Univ.), Yuho Ebata (Kyushu Univ.), Hirofumi Hasuda (NHOKMC), Shoko Miyauchi, Ota Mitsuhiko (Kyushu Univ.) MI2022-54 |
Esophageal cancer is often asymptomatic at early stage.It progresses rapidly and can invade surrounding tissues.The esop... [more] | MI2022-54 pp.26-27 |
| MI | 2022-09-15 11:40 |
Kanagawa | (Primary: On-site, Secondary: Online) |
MI2022-55 |
(To be available after the conference date) [more] | MI2022-55 pp.28-29 |
| MI | 2022-09-15 13:10 |
Kanagawa | (Primary: On-site, Secondary: Online) |
[Special Talk]
Experience of hospital-based three-way collaboration between medicine, engineering and industry
-- Very first story and efforts of Med-Tech Link, Chiba University Hospital -- Hideki Hayashi (Chiba Univ.) MI2022-56 |
“Med-Tech Link” was established within Chiba University Hospital in 2018 as a medical-engineering collaboration base wit... [more] | MI2022-56 pp.30-34 |
| MI | 2022-09-15 14:00 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Unsupervised Cell Detection for Suppression of Background Information in Cytology Keita Takeda, Kazuki Matsuo, Kohei Fujiwara, Eiji Mitate, Tomoya Sakai (Nagasaki Univ.) MI2022-57 |
(To be available after the conference date) [more] | MI2022-57 pp.35-38 |
| MI | 2022-09-15 14:15 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Study of Detecting Oral Disease Using Oral Images Acquired by a Dermoscope and Deep Learning Yuta Suzuki, Jun Ohya (Waseda Univ.), Toshihiro Okamoto, Nobuyuki Kaibuchi, Katsuhisa Sakaguchi, Kitaro Yoshimitsu (TWMU), Eiji Fukuzawa (Waseda U./Yazaki) MI2022-58 |
In this study, we focused on a device called a dermoscope as a simple and minimally invasive diagnostic tool instead of ... [more] | MI2022-58 pp.39-44 |
| MI | 2022-09-15 14:30 |
Kanagawa | (Primary: On-site, Secondary: Online) |
MI2022-59 |
(To be available after the conference date) [more] | MI2022-59 pp.45-46 |
| MI | 2022-09-15 14:45 |
Kanagawa | (Primary: On-site, Secondary: Online) |
MI2022-60 |
(To be available after the conference date) [more] | MI2022-60 pp.47-48 |
| MI | 2022-09-15 15:00 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Improvement of Bacteria Colony Classification Accuracy by Machine Learning Using Generative Adversarial Networks Masaki Amano, Duc-Tho Mai, Guanghao Sun (UEC), Nguyen Vu Trung, Le Thi Hoi (HMU), Nguyen Thi Hoa (NLH), Koichiro Ishibashi (UEC) MI2022-61 |
[more] | MI2022-61 pp.49-52 |
| MI | 2022-09-15 15:15 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Learning of Squamous Cell Image Classification Model Using Preference Learning to Assist Cervical Cytology Yuta Nambu (Future Univ. Hakodate), Tasuku Mariya, Syota Shinkai, Mina Umemoto, Hiroko Asanuma, Yoshihiko Hirohashi, Tsuyoshi Saito, Toshihiko Torigoe (Sapporo Medical Univ.), Ikuma Sato, Yuichi Fujino (Future Univ. Hakodate) MI2022-62 |
To support cervical cell diagnosis, Various classification methods of cervical cell images using machine learning have b... [more] | MI2022-62 pp.53-58 |
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