Presentation | 2013-03-15 Performance Comparison of Appearance-based Pulmonary Nodule Detection from X-ray CT Images Takanobu YANAGIHARA, Hotaka TAKIZAWA, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose appearance-based clustering methods of false positives in X-ray CT images based on K-means, Mean-shift and their combination method. These methods are compared with one another by applying them to actual CT images. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Chest X-ray CT images / Detection of pulmonary nodules / False positive reduction / K-means / Mean-shift |
Paper # | PRMU2012-212 |
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Committee | PRMU |
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Conference Date | 2013/3/7(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Performance Comparison of Appearance-based Pulmonary Nodule Detection from X-ray CT Images |
Sub Title (in English) | |
Keyword(1) | Chest X-ray CT images |
Keyword(2) | Detection of pulmonary nodules |
Keyword(3) | False positive reduction |
Keyword(4) | K-means |
Keyword(5) | Mean-shift |
1st Author's Name | Takanobu YANAGIHARA |
1st Author's Affiliation | Graduate School of Systems and Information Engineering, University of Tsukuba() |
2nd Author's Name | Hotaka TAKIZAWA |
2nd Author's Affiliation | Faculty of Engineering, Information and Systems, University of Tsukuba |
Date | 2013-03-15 |
Paper # | PRMU2012-212 |
Volume (vol) | vol.112 |
Number (no) | 495 |
Page | pp.pp.- |
#Pages | 5 |
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