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dc.contributor.authorDolejší, Martin
dc.contributor.authorKybic, Jan
dc.contributor.authorTůma, Stanislav
dc.contributor.authorPolovinčák, Michal
dc.date.accessioned2012-05-10T13:24:04Z
dc.date.available2012-05-10T13:24:04Z
dc.date.issued2008-05
dc.identifier.citationDOLEJŠÍ, M. - KYBIC, J. - POLOVINČÁK, M. - TŮMA, S.: Reducing false positive responses in lung nodule detector system by asymmetric AdaBoost. In Proceedings of 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. New York: IEEE, 2008, p. 656-659. ISSN 1945-7928. ISBN 978-1-4244-2002-5. DOI: 10.1109/ISBI.2008.4541081eng
dc.identifier.urihttp://hdl.handle.net/10467/9405
dc.description.abstractWe are developing a complex computer aided diagnosis (CAD) system to detect small pulmonary nodules from helical CT scans. Here we present a classifier to reduce the number of false positive responses of the primary detector. Our approach is based on an asymmetric Adaboost which enables us to give different weights to missed nodules (false negatives, FNs) and incorrectly detected structures (false positives, FPs). This is useful because there are noticeably more negative examples in the nodule candidate set than real nodules-true positives (TPs). The whole system is meant as a second opinion for a human radiologist to speed up reading the examination. That is why we should detect as many true nodules as possible, while a certain number of FPs is acceptable. The system was tested on 147 cases (36559 slices) containing 357 nodules marked by an expert radiologist. The new classifier significantly reduced the number of false positives, while only a few nodules were incorrectly omitted.eng
dc.language.isocescze
dc.publisherIEEEcze
dc.rights© 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.eng
dc.subjectcomputer aided diagnosticeng
dc.subjectnodule detectioneng
dc.subjectCTeng
dc.subjectasymmetric Adaboosteng
dc.titleReducing false positive responses in lung nodule detector system by asymmetric adaboostcze
dc.typepříspěvek z konference - tištěnýcze
dc.identifier.doi10.1109/ISBI.2008.4541081
dc.identifier.doihttp://dx.doi.org/10.1109/ISBI.2008.4541081


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