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Technical Committee on Medical Imaging (MI) (Searched in: 2021)
Search Results: Keywords 'from:2021-07-08 to:2021-07-08'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2021-07-08 13:00 |
Online | Online | Automated detection of malignant tumors on PET/CT images using convolutional neural networks and statistical images Takumi Aihara (Gifu Univ.), Masaki Matsusako (St.Luke's International Hospital), Takeshi Hara (Gifu Univ.), Taiki Nozaki (St.Luke's International Hospital), Tetsuro Katafuchi (Gifu University of Medical Science), Satoshi Ito, Masaya Kato (Daiyukai General Hospital), Xiangrong Zhou, Hiroshi Fujita (Gifu Univ.)  MI2021-9 |
In this study, we performed automatic detection of tumors from PET / CT images using Z-score images. The Z-score image i... [more] | MI2021-9 pp.1-6 |
| MI | 2021-07-08 13:30 |
Online | Online | [Short Paper]
Performance comparison of multiple deep CNN methods for multiple organ detection in CT images Daiki Kanoh, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-10 |
The scheme of automatically recognizing multiple organs and detecting their localizations in 3D CT images is required fo... [more] | MI2021-10 pp.7-10 |
| MI | 2021-07-08 14:00 |
Online | Online | Unsupervised deep learning with low-rank and sparse priors for blood vessel enhancement from free-breathing angiography Ryoji Ishibashi, Tomoya Sakai (Nagasaki Univ.), Hideaki Haneishi (Chiba Univ.) MI2021-11 |
(To be available after the conference date) [more] | MI2021-11 pp.11-14 |
| MI | 2021-07-08 14:30 |
Online | Online | Extraction of Calcified Regions from OCT Images Using Deep Learning Ryo Oikawa, Toru Kato, Akio Doi, Basabi Chakraborty (Iwate Prefectural Univ.), Masaru Ishida (Iwate Medical Univ.) MI2021-12 |
Stenosis or occlusion of coronary arteries leads to angina attacks and myocardial infarctions, and coronary artery disea... [more] | MI2021-12 pp.15-19 |
| MI | 2021-07-08 15:00 |
Online | Online | [Short Paper]
Renal tumor analysis using multi-temporal abdominal CT images Kento Nishihira, Hidenobu Suzuki, Mikio Matsuhiro, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Atsushi ikeda (Tsukuba Univ.) MI2021-13 |
The development of multislice computed tomography CT systems has enabled highly accurate analysis, diagnosis, and treatm... [more] | MI2021-13 pp.20-22 |
| MI | 2021-07-08 15:45 |
Online | Online | [Special Talk]
How to survive: will medical imaging societies survive in the AI era?
-- A new sketch of Computer Aided diagnosis and CAD challenges -- Shigeru Nawano (Shinmatsudo CG Hosp. hosp.) MI2021-14 |
(To be available after the conference date) [more] | MI2021-14 pp.23-24 |
| MI | 2021-07-09 10:30 |
Online | Online | Applying Convolutional Network to Predict Pathology of Postchemotherapy Retroperitoneal Nodal Masses in Germ Cell tumors Yoshimasa Iwano, Satoshi Nitta (Univ. of Tsukuba), Takahiro Kojima (Aichi Cancer Center), Hideki Kakeya (Univ. of Tsukuba) MI2021-15 |
The main treatment for advanced testicular cancer is chemotherapy and following surgical resection of residual masses. T... [more] | MI2021-15 pp.25-30 |
| MI | 2021-07-09 11:00 |
Online | Online | [Short Paper]
Construction of Subtype Classifier for Malignant Lymphoma based on H&E-stained Images using Immuno-stainning Data Yuki Hirono (NIT), Noriaki Hashimoto (RIKEN), Kugler Mauricio, Tatsuya Yokota (NIT), Miharu Nagaishi (Kurume Univ.), Hiroaki Miyoshi, Koichi Oshima (Kurume Univ./JSP), Ichiro Takeuchi (NIT/RIKEN), Hidekata Hontani (NIT) MI2021-16 |
In pathological diagnosis of malignant lymphoma, a HE image is observed at first and then a set of immunostained images ... [more] | MI2021-16 pp.31-32 |
| MI | 2021-07-09 11:30 |
Online | Online | [Short Paper]
Multi-modal Adaptive Fusion Transformer Network for Estimation of Depression Level Jiaqing Liu, Shurong Chai (Ritsumei), Hao Sun (Zheda), Xin-Yin Huang (Soochow University), LanFen Lin (Zheda), Tomoko Tateyama (Shiga University), Yutaro Iwamoto, Yen-Wei Chen (Ritsumei) MI2021-17 |
[more] | MI2021-17 pp.33-35 |
| MI | 2021-07-09 13:30 |
Online | Online | Study of chest x-ray image screening with deep learning for medical checkup Tomohiko Shimoyama (Canon ITS Medical), Tadashi Sugiyama, Yahata Takeshi, Taro Yamazaki, Tomoaki Yoshida (Public Health Research), Takeshi Washiashi, Kazuki Takahashi, Toshihiro Konno (Canon ITS Medical), Yoshihiro Tamachi (Public Health Research) MI2021-18 |
[more] | MI2021-18 pp.36-41 |
| MI | 2021-07-09 14:00 |
Online | Online | Severity determination of chest CT data in tuberculosis patients using deep learning Tetsuya Asakawa, Riku Tsuneda (TUT), Kazuki Simizu, Takuyuki Komoda (THC), Masaki Aono (TUT) MI2021-19 |
The purpose of this study is to make accurate estimates for five labels (infiltrative, focal, tuberculoma, miliary, and ... [more] | MI2021-19 pp.42-46 |
| MI | 2021-07-09 14:30 |
Online | Online | Asynchrony analysis of diaphragmatic movement for evaluation of respiratory dynamics in COPD patients Xiao Tan (Chiba Univ.), Yuma Iwao (QST), Chen Ye, Kotaro Takahashi (Chiba Univ.), Yoshitada Masuda (Chiba Univ. Hospital), Ayako Shimada, Naoko Kawata, Hideaki Haneishi (Chiba Univ.) MI2021-20 |
The state of lung movement is an important index for the diagnosis of the chronic obstructive pulmonary disease (COPD). ... [more] | MI2021-20 pp.47-51 |
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