In this article the elements that constitute a computer-aided diagnosis system for the detection of interstitial disease in chest radiographs are described. First, because of the diffuse nature of interstitial abnormalities, a method for texture analysis is usually involved. A second element is the classifier: In the classification stage, one has to choose between multiclass or one-class classification. A third aspect is the selection of regions of interest for analysis, which is linked to the segmentation problem. Finally, there are several ways to combine the results of analyses of ROIs into a final diagnosis of the complete image in several ways. Results from the approach I have adopted will be presented and some directions for future research are given.
Computerized detection of interstitial disease in chest radiographs
B. van Ginneken
Medical Imaging Technology 2003;21:15-20.