Paper Abstract and Keywords |
Presentation |
2014-01-26 13:30
An Improvement of Automated Lymph Node Detection Method from 3D Abdominal X-ray CT Images using Feature Selection Method Yoshihiko Nakamura (Nagoya Univ.), Takayuki Kitasaka, Shinji Mizuno (Aichi Inst. of Tech.), Kazuhiro Furukawa, Hidemi Goto, Michitaka Fujiwara (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Masaaki Ito (National Cancer Center Hospital East), Shigeru Nawano (IUHW Mita Hospital), Kensaku Mori (Nagoya Univ.) MI2013-72 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We have been developing automatical abdominal lymph node detection methods to aid pre-operating diagnosis for surgery of colorectal or stomach cancers. Our purpose is to achieve the aid for resection area decision in pre-operative diagnosis and the aid for intra-operation by displaying the detected lymph nodes. We have proposed methods for detecting lymph nodes based on estimation and classification of local intensity structure. In this paper, we improve false positive reduction process using the feature selection methods. By applying the proposed method to 28 abdominal 3D CT images, we can detect 68 of 95 lymph nodes with 12.5 false positive per case. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
computer aided surgery / lymph node detection / local intensity structure analysis / feature selection / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 410, MI2013-72, pp. 85-90, Jan. 2014. |
Paper # |
MI2013-72 |
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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MI2013-72 |
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