Plug-ins for PLUTO to identify inflammatory nodules in chest CT images(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))

概要

論文の詳細を見る
In this paper, we introduce an implementation of plug-ins on PLUTO. These plug-ins discriminate inflammatory nodules from other types of nodules in chest CT images. 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; feature extraction plug-in and SVM learning/classifying plug-in. 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 a 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.
2009-01-12