Name
Title | ||
|---|---|---|
Diffuse lung disease classification in HRCT lung images using generalized Gaussian density modeling of wavelets coefficients |
Abstract | ||
|---|---|---|
The generalized Gaussian density model for wavelet subbands has been applied widely in texture image retrieval. In this paper, we employ wavelet-based texture extraction that is based on accurate modeling of the distribution of wavelet coefficients using generalized Gaussian density to classify four diffuse lung disease patterns: normal, emphysema, ground glass opacity and honey-combing. The evaluated classifiers are K-nearest neighbor (K-NN) and support vector machine (SVM). A collection of 124 slices from 45 patients has been investigated, each slice of size 512Ã512, 12bit/pixel in DICOM format. The dataset contains 6000 ROIs of those slices marked by experienced radiologists. We employ this technique at different wavelet transform scales and compare results to other wavelet-based classification techniques for diffuse lung disease classification. The technique presented here has the best overall accuracy of 92.25% for the multi-class case with 3-level wavelet transform and SVM classifier. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICIP.2009.5414093 | Image Processing |
Keywords | Field | DocType |
Gaussian processes,computerised tomography,diseases,feature extraction,image classification,image retrieval,image texture,lung,medical image processing,support vector machines,wavelet transforms,DICOM format,K-nearest neighbor,diffuse lung disease classification,emphysema,generalized Gaussian density modeling,ground glass opacity,high resolution computed tomography lung images,honey-combing,support vector machine,texture image retrieval,wavelet subbands,wavelet transform scales,wavelet-based texture extraction,HRCT,diffuse lung disease,generalized Gaussian density,texture retrieval,wavelet | Computer vision,Pattern recognition,Image texture,Computer science,Support vector machine,Feature extraction,Gaussian,Artificial intelligence,Gaussian process,Contextual image classification,Wavelet transform,Wavelet | Conference |
ISSN | ISBN | Citations |
1522-4880 E-ISBN : 978-1-4244-5655-0 | 978-1-4244-5655-0 | 1 |
PageRank | References | Authors |
0.36 | 12 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kiet T. Vo | 1 | 1 | 0.36 |
| Arcot Sowmya | 2 | 319 | 60.05 |