Online edition: ISSN 2432-6380
[TOP] | [2018] | [2019] | [2020] | [2021] | [2022] | [2023] | [2024] | [Japanese] / [English]
MI2022-49
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)
pp. 1 - 4
MI2022-50
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)
pp. 5 - 9
MI2022-51
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)
pp. 10 - 15
MI2022-52
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)
pp. 16 - 19
MI2022-53
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)
pp. 20 - 25
MI2022-54
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.)
pp. 26 - 27
MI2022-55
(See Japanese page.)
pp. 28 - 29
MI2022-56
[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.)
pp. 30 - 34
MI2022-57
Unsupervised Cell Detection for Suppression of Background Information in Cytology
Keita Takeda, Kazuki Matsuo, Kohei Fujiwara, Eiji Mitate, Tomoya Sakai (Nagasaki Univ.)
pp. 35 - 38
MI2022-58
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)
pp. 39 - 44
MI2022-59
(See Japanese page.)
pp. 45 - 46
MI2022-60
(See Japanese page.)
pp. 47 - 48
MI2022-61
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)
pp. 49 - 52
MI2022-62
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)
pp. 53 - 58
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.