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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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.
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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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Conference Information
Committee PRMU
Conference Date 2013/3/7(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
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
Date of Issue