X-ray categorization and spatial localization of chest pathologies

Authors:
Uri Avni;Hayit Greenspan;Jacob Goldberger
Affiliations:
BioMedical Engineering Tel-Aviv University, Israel;IBM Almaden Research Center, San Jose, CA and BioMedical Engineering Tel-Aviv University, Israel;School of Engineering, Bar-Ilan University, Israel
Venue:
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part III
Year:
2011

Citing 4
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Abstract

In this study we present an efficient image categorization system 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 provided on chest radiographs taken from routine hospital examinations.