Computer-aided detection of pulmonary nodules in low-dose CT

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dc.creatorDelogu, P.
dc.creatorFantacci, M. E.
dc.creatorGori, I.
dc.creatorMartinez, A. Preite
dc.creatorRetico, A.
dc.date2007-01-11
dc.date.accessioned2026-07-07T07:40:04Z
dc.date.available2026-07-07T07:40:04Z
dc.descriptionA computer-aided detection (CAD) system for the identification of pulmonary nodules in low-dose multi-detector helical CT images with 1.25 mm slice thickness is being developed in the framework of the INFN-supported MAGIC-5 Italian project. The basic modules of our lung-CAD system, a dot enhancement filter for nodule candidate selection and a voxel-based neural classifier for false-positive finding reduction, are described. Preliminary results obtained on the so-far collected database of lung CT scans are discussed.
dc.description3 pages, 4 figures; Proceedings of the CompIMAGE - International Symposium on Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications, 20-21 Oct. 2006, Coimbra, Portugal
dc.identifierhttps://arxiv.org/abs/physics/0701138
dc.identifierhttp://arxiv.org/abs/physics/0701138
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/121674
dc.subjectMedical Physics
dc.titleComputer-aided detection of pulmonary nodules in low-dose CT
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