セッション詳細
Image Informatics: Detection
2026年4月17日(金) 10:20 〜 11:10
416+417
Chairperson:Kentaro Miki(Kyorin University), Hidetaka Arimura(Kyushu University)
[TPI-063]Deep learning-based support system for alignment classification and correction guidance in postoperative total knee arthroplasty lateral radiographs
Kazuhiro Ogasawara1,2, Shinya Ohwada1, Rie Tachibana2, Katsuhiko Ogasawara2,3 (1.Department of Diagnostic Imaging, Hokkaido Social Work Association Obihiro Hospital, 2.Graduate School of Engineering, Muroran Institute of Technology, 3.Faculty of Health Sciences, Hokkaido University)
[TPI-064]Automatic detection of pediatric forearm fractures from multi-view X-ray images using OpenCLIP
Haruna Suzuki1, Atsushi Teramoto1, Tsuyoshi Honmoto2, Ayumi Niki2, Tatsuo Kono3, Hiroshi Fujita4 (1.Department of Information Engineering, Graduate School of Science and Technology, Meijo University, 2.Ibaraki Children's Hospital, 3.Tokyo Metropolitan Children's Medical Center, 4.Faculty of Engineering, Gifu University)
[TPI-065]Automated geometric morphological quantification of wrist bones on radiographs for rheumatoid arthritis evaluation
Jiajing Zhou1, Junmu Peng1, Haolin Wang2, Hiroshi Kataoka3, Masaya Mukai4, Tunlada Wiriyanukhroh1,5, Tamotsu Kamishima1 (1.Faculty of Health Sciences, Hokkaido University, 2.Faculty of Health Sciences, Hokkaido University, 3.Sapporo City General Hospital, 4.Soen Chuo Hospital, 5.Phramongkutklao Hospital and College of Medicine, Thailand)
[TPI-066]Optimizing intracranial hemorrhage detection on postmortem computed tomography: Deep U-Net segmentation with a refined labeling approach to reduce postmortem artifacts
InSeok Choi1, Yeji Kim2, Jin-Haeng Heo3, Sookyoung Lee1, Yongsu Yoon2 (1.Division of Forensic Medical Examination, National Forensic Service, Wonju, Republic of Korea, 2.Department of Multidisciplinary Radiological Science, Graduate School of Dongseo University, Republic of Korea, 3.Forensic Medicine Division, Busan Institute, National Forensic Service, Republic of Korea)
[TPI-067]Deep learning-based detection of obstructive lung disease in dynamic chest radiography
Nanami Imai1, Rie Tanaka2, Noriyuki Ohkura3, Isao Matsumoto4 (1.Graduate School of Health Science, Kanazawa University, 2.College of Medical, Pharmaceutical & Health Sciences, Kanazawa University, 3.Department of Respiratory Medicine, Kanazawa University Hospital, 4.Department of Thoracic Surgery, Kanazawa University)