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dc.contributor.authorPattichis, Marios S.en
dc.contributor.authorPattichis, Constantinos S.en
dc.contributor.authorChristodoulou, Christodoulos I.en
dc.contributor.authorJames, D.en
dc.contributor.authorKetai, L.en
dc.contributor.authorSoliz, P.en
dc.creatorPattichis, Marios S.en
dc.creatorPattichis, Constantinos S.en
dc.creatorChristodoulou, Christodoulos I.en
dc.creatorJames, D.en
dc.creatorKetai, L.en
dc.creatorSoliz, P.en
dc.description.abstractThe aim of this study was to develop a screening system of chest radiographs of miners with pneumoconiosis. Chest radiographs were of coal mine or silica dust exposed miners participating in a health screening program. A total of 236 regions of interest (ROI) (166, 49, and 21 with profusions of category (shape and size) 0, 1(q), and 1(r), respectively) were identified from 74 digitized chest radiographs by two B-readers. Two different texture feature sets were extracted: spatial gray level dependence matrices (SGLDM), and gray level differences statistics (GLDS). The nonparametric Wilcoxon rank sum test was carried out to compare the different profusion categories versus that of profusion 0 (normal). Results showed that significant differences exist (at a=0.05) between 0 versus 1(q), and 0 versus 1(r) for 14, and 12 texture features respectively. For the screening system, the self-organizing map (SOM), the backpropagation (BP), and the radial basis function (RBF) neural network classifiers, as well as the statistical k-nearest neighbour (KNN) classifier were used to classify two classes: profusion 0 and profusion 1(q and r). The highest percentage of correct classifications for the evaluation set (116 and 20 cases of profusion 0 and 1(q and r) respectively) was 75% for the BP classifier for the SGLDM feature set. These results compare favorably with inter- and intra-reader variability. © 2002 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en
dc.sourceProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretationen
dc.source5th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2002en
dc.subjectNeural networksen
dc.subjectNetwork protocolsen
dc.subjectConformal mappingen
dc.subjectComputer scienceen
dc.subjectSilicon compoundsen
dc.subjectImage analysisen
dc.subjectImage segmentationen
dc.subjectRadial basis function networksen
dc.subjectSelf organizing mapsen
dc.subjectNearest neighbor searchen
dc.subjectK nearest neighbours (k-NN)en
dc.subjectGray level differencesen
dc.subjectImage texture analysisen
dc.subjectImage textureen
dc.subjectRegions of interesten
dc.subjectCoal dusten
dc.subjectCoal minesen
dc.subjectMine dusten
dc.subjectRadial basis function neural networksen
dc.subjectWilcoxon rank sum testen
dc.titleA screening system for the assessment of opacity profusion in chest radiographs of miners with pneumoconiosisen
dc.description.endingpage133 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied SciencesΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Sponsors: IEEE Computer Societyen
dc.description.notesConference code: 115840en
dc.description.notesCited By :5</p>en
dc.contributor.orcidPattichis, Constantinos S. [0000-0003-1271-8151]
dc.contributor.orcidPattichis, Marios S. [0000-0002-1574-1827]

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