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Growing region technique in the detection of autonomous structures within X-ray radiographs

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dc.contributor.author Raptis Sotiris, N en
dc.contributor.author Tzafestas Spyros, G en
dc.contributor.author Pavlopoulos, S en
dc.contributor.author Koutsouris, D en
dc.contributor.author Kollias, S en
dc.date.accessioned 2014-03-01T02:41:28Z
dc.date.available 2014-03-01T02:41:28Z
dc.date.issued 1997 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/30474
dc.subject Cancer Prevention en
dc.subject Chest Radiograph en
dc.subject Chest X Ray en
dc.subject X Rays en
dc.subject.other Diagnostic radiography en
dc.subject.other Feature extraction en
dc.subject.other Image analysis en
dc.subject.other Image quality en
dc.subject.other Iterative methods en
dc.subject.other Object recognition en
dc.subject.other Oncology en
dc.subject.other Cancer nodule characteristics en
dc.subject.other Growing region techniques en
dc.subject.other X ray radiography en
dc.title Growing region technique in the detection of autonomous structures within X-ray radiographs en
heal.type conferenceItem en
heal.identifier.primary 10.1109/NSSMIC.1997.670619 en
heal.identifier.secondary http://dx.doi.org/10.1109/NSSMIC.1997.670619 en
heal.publicationDate 1997 en
heal.abstract Nodule identification is a major issue in chest radiography and cancer prevention and detection. The recognition of cancer nodule characteristics in chest radiographs is a key point to the detection procedure. The method described here is based on the extraction of the major geometrical as well as luminance characteristics that make nodule recognizable and easy to detect. The purpose of the proposed method is to detect within a given block of chest x-ray image any homogeneous and autonomous mass that might means the existence of a nodule or some structure within it. The idea of pixels of interest is introduced which makes the growing a finite steps procedure. The growing of the region around a given point is realized gradually in a finite number of iterations at each one of which a set of criteria is evaluated. These criteria are established in a prior training procedure. en
heal.publisher IEEE, Piscataway, NJ, United States en
heal.journalName IEEE Nuclear Science Symposium & Medical Imaging Conference en
dc.identifier.doi 10.1109/NSSMIC.1997.670619 en
dc.identifier.volume 2 en
dc.identifier.spage 1576 en
dc.identifier.epage 1580 en


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