Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Shuzo Kanasaki"'
Autor:
Swathi Ananda, Rahul Kumar Jain, Yinhao Li, Yutaro Iwamoto, Xian-Hua Han, Shuzo Kanasaki, Hongjie Hu, Yen-Wei Chen
Publikováno v:
Bioengineering, Vol 10, Iss 8, p 899 (2023)
Multi-phase computed tomography (CT) images have gained significant popularity in the diagnosis of hepatic disease. There are several challenges in the liver segmentation of multi-phase CT images. (1) Annotation: due to the distinct contrast enhancem
Externí odkaz:
https://doaj.org/article/e67035f142f24991849e7a0516b23a33
Publikováno v:
IEICE Transactions on Information and Systems. :1027-1037
Autor:
Huimin Huang, Qingqing Chen, Lanfen Lin, Ming Cai, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen, Ruofeng Tong, Hongjie Hu
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 26:3988-3998
Autor:
Huimin, Huang, Qingqing, Chen, Lanfen, Lin, Ming, Cai, Qiaowei, Zhang, Yutaro, Iwamoto, Xianhua, Han, Akira, Furukawa, Shuzo, Kanasaki, Yen-Wei, Chen, Ruofeng, Tong, Hongjie, Hu
Publikováno v:
IEEE journal of biomedical and health informatics. 26(8)
Organ segmentation is one of the most important step for various medical image analysis tasks. Recently, semi-supervised learning (SSL) has attracted much attentions by reducing labeling cost. However, most of the existing SSLs neglected the prior sh
Publikováno v:
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Convolutional neural networks have become popular in medical image segmentation, and one of their most notable achievements is their ability to learn discriminative features using large labeled datasets. Two-dimensional (2D) networks are accustomed t
Publikováno v:
Journal of Image and Graphics. 7:134-139
Autor:
Yasuyo Hamanaka, Kanako Fumoto, Shuzo Kanasaki, Linh Dai Hung Nguyen, Takako Shirakawa, Tomohiro Hirose, Shinichi Ota, Akitoshi Inoue, Syerikjan Tulyeubai, Akira Furukawa
Publikováno v:
RadioGraphics. 38:945-961
Acute mesenteric ischemia is a rare life-threatening condition that accounts for approximately one in 1000 hospital admissions. The mortality rate is 50%-69% owing to the absence of specific symptoms and laboratory data, which makes early detection o
Publikováno v:
ICNC-FSKD
In this paper, we propose an automated method for assessing small bowel contraction movement with Cine-MRI based on automatic feature points tracking. The proposed method comprises two steps. First, in the initial frame, the user selects two arbitrar
Autor:
Shuzo Kanasaki, Makoto Wakamiya, Tomoko Tateyama, Akira Furukawa, Kazuki Otsuki, Yen-Wei Chen, Ayako Taniguchi
Publikováno v:
Innovation in Medicine and Healthcare 2017 ISBN: 9783319593968
In this paper, we propose a method for automated assessment of small bowel motility function based on image analysis using Cine MR Image. In this study, we first use a superpixels based method to segment the target small bowel region and then the tem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d759e514441f13f8354f328cb45153b5
https://doi.org/10.1007/978-3-319-59397-5_19
https://doi.org/10.1007/978-3-319-59397-5_19
Autor:
Tomoko Tateyama, Akira Furukawa, Shinya Kohara, Yen-Wei Chen, Mei Uetani, Shuzo Kanasaki, Xian-Hua Han, Hidetoshi Tanaka
Publikováno v:
Electrical Engineering in Japan. 190:37-45
SUMMARY In recent years, there has been increasing interest in statistical shape modeling of human anatomy. The statistical shape model can capture the morphological variations of human anatomy. Since liver cirrhosis will cause significant morphologi