Paper Abstract and Keywords |
Presentation |
2006-01-27 13:00
Computer-Aided Diagnosis System for Lung Cancer using Retrospective CT Images Hironori Nakashima, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki (Tokushima Univ), Hironobu Ohmatsu (National Cancer Center Hospital East), Kenji Eguchi (School of Medicine Tokai Univ), Yoshiyuki Nishiyama (Social Health Insurance Medical Center), Masahiro Kaneko, Masahiko Kusumoto (National Cancer Center Hospital), Ryutaro Kakinuma, Noriyuki Moriyama (National Cancer Center Research Center for Center Prevention an) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Since comparative reading using retrospective CT images identifies pathological changes clearly. The technique is effective in detecting lung cancer, and a matching algorithm based on blood vessel information is considered useful for comparative reading. This report proposes an algorithm to evaluate nodule progress degree with the CT images. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
slice matching algorithm / past diagnostic result / comparative reading / blood vessel information / evaluate nodule progress degree / / / |
Reference Info. |
IEICE Tech. Rep., vol. 105, no. 579, MI2005-73, pp. 29-32, Jan. 2006. |
Paper # |
MI2005-73 |
Date of Issue |
2006-01-20 (MI) |
ISSN |
Print edition: ISSN 0913-5685 |
Download PDF |
|