X-ray categorization and spatial localization of chest pathologies
In this study we present an ecient image categorization sys- tem for medical image databases utilizing a local patch representation based on both content and location. The system discriminates between healthy and pathological cases and indicates the subregion in the image that is automatically found to be most relevant for the decision. We show an application to pathology-level categorization of chest x-ray data, the most popular examination in radiology. Experimental results are pro- vided on chest radiographs taken from routine hospital examinations.