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dc.contributor.authorGori, Ien
dc.contributor.authorBellotti, Ren
dc.contributor.authorCerello, Pen
dc.contributor.authorCheran, SCen
dc.contributor.authorNunzio, GDen
dc.contributor.authorFantacci, MEen
dc.contributor.authorKasae, Pen
dc.contributor.authorMasala, GLen
dc.contributor.authorMartinez, APen
dc.contributor.authorRetico, Aen
dc.description3 pages, 4 figures; Proceedings of the IEEE NNS and MIC Conference, Oct. 29 - Nov. 4, 2006, San Diego, Californiaen

A computer-aided detection (CAD) system for the identification of pulmonary nodules in low-dose multi-detector helical Computed Tomography (CT) images with 1.25 mm slice thickness is presented. The basic modules of our lung-CAD system, a dot-enhancement filter for nodule candidate selection and a neural classifier for false-positive finding reduction, are described. The results obtained on the collected database of lung CT scans are discussed.

dc.titleLung Nodule Detection in Screening Computed Tomographyen
dc.typeJournal Article
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics
dc.rights.embargoperiodNot knownen
rioxxterms.typeJournal Article/Reviewen

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