Name
Title | ||
|---|---|---|
Eigen Nodule: View-Based Recognition of Lung Nodule in Chest X-ray CT Images Using Subspace Method |
Abstract | ||
|---|---|---|
We previously proposed a recognition method of lung nodules based on experimentally selected feature values (such as contrast, circularities, etc.) of pathological candidate regions detected by our Quoit filter. In this paper, we propose a new recognition method of lung nodule using each CT value itself in ROI (region of interest) area as a feature value. In the clustering stage, first, the pathological candidate regions are classified into some clusters using Principal Component(PC) theories. A set of CT values in each ROI is regarded as a feature vector, and then eigen vectors and eigen values are calculated for each cluster by applying Principal Component Analysis(PCA). The eigen vectors (we call them Eigen Images) corresponding to the 10 largest eigen values, are utilized as base vectors for subspaces of the clusters in the feature space. In the discrimination stage, correlations are measured between the testing feature vector and the subspace which is spanned by the Eigen Images. If the correlation with the abnormal subspace is large, the pathological candidate region is determined to be abnormal. Otherwise, it is determined to be normal. By applying our new method, good results have been acquired. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/ICPR.2004.326 | ICPR |
Keywords | Field | DocType |
ct value,lung nodule,eigen value,testing feature vector,chest x-ray,pathological candidate region,eigen vector,feature value,eigen nodule,feature space,subspace method,view-based recognition,new method,feature vector,largest eigen value,image classification,principal component,image recognition,region of interest,principal component analysis,vectors | Computer vision,Feature vector,Pattern recognition,Subspace topology,Linear subspace,Artificial intelligence,Region of interest,Contextual image classification,Cluster analysis,Principal component analysis,Eigenvalues and eigenvectors,Mathematics | Conference |
Volume | ISSN | ISBN |
5370 | 0277-786X | 0-7695-2128-2 |
Citations | PageRank | References |
1 | 0.39 | 2 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yoshihiko Nakamura | 1 | 6 | 1.82 |
| gentaro fukano | 2 | 52 | 7.53 |
| Hotaka Takizawa | 3 | 84 | 16.49 |
| Shinji Mizuno | 4 | 792 | 153.37 |
| Shinji Yamamoto | 5 | 94 | 16.35 |
| Tohru Matsumoto | 6 | 82 | 10.34 |
| Yukio Tateno | 7 | 79 | 14.41 |
| Takeshi Iinuma | 8 | 55 | 8.64 |