Paper Abstract and Keywords |
Presentation |
2014-01-26 13:30
Multi-organ localizations on a large number of CT images by using machine learning and its performance evaluations Shoichi Morita, Xiangrong Zhou, Huayue Chen, Takeshi Hara (Gifu Univ.), Huiyan Jiang (NEU), Ryujiro Yokoyama (Gifu Univ.), Masayuki Kanematsu (Gifu Univ. Hospital), Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2013-62 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this study, we propose an approach to accomplish general localization of the different inner organ regions on 3D CT scans using object detections by pattern matching and the majority voting technique. In the experiment, we localized 11 organs from CT image databases scanned difference condition. Moreover we showed the performance evaluation of automatic localization by quantitative evaluation and visual assessment. The average of TP of all organs was 0.95. Furthermore, the detection performance was increased by adding interpolation of resolution and rotation at images. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
CT images / Organ localization / Ensemble learning / Pattern matching / Multi organ / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 410, MI2013-62, pp. 37-41, Jan. 2014. |
Paper # |
MI2013-62 |
Date of Issue |
2014-01-19 (MI) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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MI2013-62 |
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