Computer-aided detection of pulmonary pathology in pediatric chest radiographs
dc.contributor.author | Mouton A. | |
dc.contributor.author | Pitcher R.D. | |
dc.contributor.author | Douglas T.S. | |
dc.date.accessioned | 2011-05-15T16:17:19Z | |
dc.date.available | 2011-05-15T16:17:19Z | |
dc.date.issued | 2010 | |
dc.description.abstract | A scheme for triaging pulmonary abnormalities in pediatric chest radiographs for specialist interpretation would be useful in resource-poor settings, especially those with a high tuberculosis burden. We assess computer-aided detection of pulmonary pathology in pediatric digital chest X-ray images. The method comprises four phases suggested in the literature: lung field segmentation, lung field subdivision, feature extraction and classification. The output of the system is a probability map for each image, giving an indication of the degree of abnormality of every region in the lung fields; the maps may be used as a visual tool for identifying those cases that need further attention. The system is evaluated on a set of anterior-posterior chest images obtained using a linear slot-scanning digital X-ray machine. The classification results produced an area under the ROC of 0.782, averaged over all regions. © 2010 Springer-Verlag. | |
dc.description.version | Conference Paper | |
dc.identifier.citation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | |
dc.identifier.citation | 6363 LNCS | |
dc.identifier.citation | PART 3 | |
dc.identifier.issn | 03029743 | |
dc.identifier.other | 10.1007/978-3-642-15711-0_77 | |
dc.identifier.uri | http://hdl.handle.net/10019.1/14163 | |
dc.subject | Anterior posteriors | |
dc.subject | Chest image | |
dc.subject | Chest radiographs | |
dc.subject | Chest X-ray image | |
dc.subject | classification | |
dc.subject | Classification results | |
dc.subject | Computer-aided detection | |
dc.subject | Feature extraction and classification | |
dc.subject | Lung field segmentation | |
dc.subject | Lung fields | |
dc.subject | Probability maps | |
dc.subject | pulmonary abnormality | |
dc.subject | tuberculosis | |
dc.subject | Visual tools | |
dc.subject | X ray machine | |
dc.subject | Biological organs | |
dc.subject | Diseases | |
dc.subject | Feature extraction | |
dc.subject | Mammography | |
dc.subject | Medical computing | |
dc.subject | Medical imaging | |
dc.subject | Pathology | |
dc.subject | Pediatrics | |
dc.subject | Radiography | |
dc.subject | Computer aided diagnosis | |
dc.title | Computer-aided detection of pulmonary pathology in pediatric chest radiographs | |
dc.type | Conference Paper |