Presentation 2009/1/5
PLUG-IN MODULES ON PLUTO FOR IDENTIFYING INFLAMMATORY NODULES FROM LUNG NODULES IN CHEST X-RAY CT IMAGES(International Workshop on Advanced Image Technology 2009)
Yasushi Hirano, Nobuhiko Seki, Kenji Eguchi,
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Abstract(in English) We introduce an implementation of plug-ins on PLUTO. These plug-ins discriminate inflammatory nodules from other types of nodules in chest X-ray CT images. The PLUTO is a common platform for computer-aided diagnosis systems on Microsoft Windows series and it is easy to add new functions as plug-ins. We coded two plug-ins. One of the them calculates features based on medical knowledge. The other plug-in calculates parameters to classify the type of nodules, and it also classifies nodules into inflammatory nodules and others using SVM. These plug-ins are coded using MIST library which is produced at Nagoya University, Japan. In our previous study, the MIST library was parallelized, so that we can utilize a number of CPUs to calculate features and SVM learning/classifying depending on the amount of computation. Using these plug-ins, it became easy to extract features to discriminate inflammatory nodules from other types of nodules and to change parameters for feature extraction and SVM learning/classifying with GUI interface. The accuracy of the classifying result is 100% with 78 solid nodules which contains 43 inflammatory nodules and 35 other type of nodules.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Inflammatory nodule / Chest X-ray CT image / GUI / PLUTO Plug-in / Computer-aided diagnosis
Paper # IE2008-137
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Committee IE
Conference Date 2009/1/5(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) PLUG-IN MODULES ON PLUTO FOR IDENTIFYING INFLAMMATORY NODULES FROM LUNG NODULES IN CHEST X-RAY CT IMAGES(International Workshop on Advanced Image Technology 2009)
Sub Title (in English)
Keyword(1) Inflammatory nodule
Keyword(2) Chest X-ray CT image
Keyword(3) GUI
Keyword(4) PLUTO Plug-in
Keyword(5) Computer-aided diagnosis
1st Author's Name Yasushi Hirano
1st Author's Affiliation Information Technology Center, Nagoya University()
2nd Author's Name Nobuhiko Seki
2nd Author's Affiliation School of Medicine, Teikyo University
3rd Author's Name Kenji Eguchi
3rd Author's Affiliation School of Medicine, Teikyo University
Date 2009/1/5
Paper # IE2008-137
Volume (vol) vol.108
Number (no) 373
Page pp.pp.-
#Pages 5
Date of Issue