Improving computer-aided diagnosis of interstitial disease in chest radiographs by combining one-class and two-class classifiers.

In this paper we compare and combine two distinct pattern classification approaches to the automated detection of regions with interstitial abnormalities in frontal chest radiographs. Standard two-class classifiers and recently developed one-class classifiers are considered. The one-class problem is to find the best model of the normal class and...