Information and Systems-Medical Imaging(Date:2022/09/15)

Presentation
Study of Detecting Oral Disease Using Oral Images Acquired by a Dermoscope and Deep Learning

Yuta Suzuki(Waseda Univ.),  Jun Ohya(Waseda Univ.),  Toshihiro Okamoto(TWMU),  Nobuyuki Kaibuchi(TWMU),  Katsuhisa Sakaguchi(TWMU),  Kitaro Yoshimitsu(TWMU),  Eiji Fukuzawa(Waseda U./Yazaki),  

[Date]2022-09-15
[Paper #]MI2022-58
［ショートペーパー］常時携行型毛細血管再充満時間測定装置の開発と計測エラーの補正手法の検討

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[Date]2022-09-15
[Paper #]MI2022-59
［ショートペーパー］舌診断支援のための深層学習を用いた舌特徴抽出ソフトウェアの開発

Takaya Ishikawa(Chiba Univ.),  Keigo Noguchi(Chiba Univ.),  Yuki Watanabe(Chiba Univ.),  Takao Namiki(Chiba Univ.),  Yukihiro Nomura(Chiba Univ.),  Toshiya Nakaguchi(Chiba Univ.),  

[Date]2022-09-15
[Paper #]MI2022-60
Automatic Multi-Measure Classification of Hip Osteoarthritis Based on Digitally-Reconstructed Radiographs using Deep Learning

Masachika Masuda(NAIST),  Mazen Soufi(NAIST),  Yoshito Otake(NAIST),  Keisuke Uemura(Osaka Univ.),  Masaki Takao(Ehime Univ.),  Nobuhiko Sugano(Osaka Univ.),  Yoshinobu Sato(NAIST),  

[Date]2022-09-15
[Paper #]MI2022-49
Improvement of Bacteria Colony Classification Accuracy by Machine Learning Using Generative Adversarial Networks

Masaki Amano(UEC),  Duc-Tho Mai(UEC),  Guanghao Sun(UEC),  Nguyen Vu Trung(HMU),  Le Thi Hoi(HMU),  Nguyen Thi Hoa(NLH),  Koichiro Ishibashi(UEC),  

[Date]2022-09-15
[Paper #]MI2022-61
Automated Detection of Culprit Lesion in Acute Coronary Syndrome from X-ray Coronary Angiography using Ensemable-YOLOV5

Xiaozhi Ma(Kochi Univ. of Tech.),  Toru Kurihara(Kochi Univ. of Tech.),  Jun Yu(Kochi Univ. of Tech.),  Osamu Kurihara(Nippon Medical School Chiba Hokusoh Hospital),  Masamichi Takano(Nippon Medical School Chiba Hokusoh Hospital),  

[Date]2022-09-15
[Paper #]MI2022-53
Esophageal Tumor Segmentation in Endoscopic Images by Deep Learning

Zehao Li(Okayama Univ.),  Ken'ichi Morooka(Okayama Univ.),  Yuho Ebata(Kyushu Univ.),  Hirofumi Hasuda(NHOKMC),  Shoko Miyauchi(Kyushu Univ.),  Ota Mitsuhiko(Kyushu Univ.),  

[Date]2022-09-15
[Paper #]MI2022-54
Learning of Squamous Cell Image Classification Model Using Preference Learning to Assist Cervical Cytology

Yuta Nambu(Future Univ. Hakodate),  Tasuku Mariya(Sapporo Medical Univ.),  Syota Shinkai(Sapporo Medical Univ.),  Mina Umemoto(Sapporo Medical Univ.),  Hiroko Asanuma(Sapporo Medical Univ.),  Yoshihiko Hirohashi(Sapporo Medical Univ.),  Tsuyoshi Saito(Sapporo Medical Univ.),  Toshihiko Torigoe(Sapporo Medical Univ.),  Ikuma Sato(Future Univ. Hakodate),  Yuichi Fujino(Future Univ. Hakodate),  

[Date]2022-09-15
[Paper #]MI2022-62
［ショートペーパー］下肢リンパ浮腫におけるCT画像の皮膚厚自動計測手法の初期検討

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[Date]2022-09-15
[Paper #]MI2022-55
Musculoskeletal decomposition for high-fidelity body composition analysis from a plain x-ray image

Yi Gu(NAIST),  Yoshito Otake(NAIST),  Keisuke Uemura(Osaka Univ.),  Mazen Soufi(NAIST),  Masaki Takao(Ehime Univ.),  Nobuhiko Sugano(Osaka Univ.),  Yoshinobu Sato(NAIST),  

[Date]2022-09-15
[Paper #]MI2022-50
[Special Talk] Experience of hospital-based three-way collaboration between medicine, engineering and industry

Hideki Hayashi(Chiba Univ.),  

[Date]2022-09-15
[Paper #]MI2022-56
Quantitative evaluation of patient-specific simulation of muscle deformation using MRI in multiple limb positions

Junya Ino(NAIST),  Yoshito Otake(NAIST),  Mazen Soufi(NAIST),  Keisuke Uemura(Osaka Univ.),  Masaki Takao(Osaka Univ.),  Nobuhiko Sugano(Osaka Univ.),  Yoshinobu Sato(NAIST),  

[Date]2022-09-15
[Paper #]MI2022-51
Virtual Standing Position Transformation from Supine CT using Whole-body Upright CT Scanner

Tomoki Hakotani(NAIST),  Yoshito Otake(NAIST),  Mazen Soufi(NAIST),  Masahiro Hashimoto(Keio Univ.),  Yoshitake Yamada(Keio Univ.),  Minoru Yamada(Keio Univ.),  Yoichi Yokoyama(Keio Univ.),  Keisuke Uemura(Osaka Univ.),  Masaki Takao(Ehime Univ.),  Nobuhiko Sugano(Osaka Univ.),  Masahiro Jinzaki(Keio Univ.),  Yoshinobu Sato(NAIST),  

[Date]2022-09-15
[Paper #]MI2022-52
Unsupervised Cell Detection for Suppression of Background Information in Cytology

Keita Takeda(Nagasaki Univ.),  Kazuki Matsuo(Nagasaki Univ.),  Kohei Fujiwara(Nagasaki Univ.),  Eiji Mitate(Nagasaki Univ.),  Tomoya Sakai(Nagasaki Univ.),  

[Date]2022-09-15
[Paper #]MI2022-57