Gori, Ilaria and Bagagli, F. and Fantacci, Maria Evelina and Preite Martinez, Alessandro and Retico, Alessandra and De Mitri, Ivan and Donadio, Stefania and Fulcheri, C. and Gargano, Gianfranco and Magro, Rosario and Santoro, Massimo and Stumbo, Simone (2007) Multi-scale analysis of lung computed tomography images. Journal of Instrumentation, Vol. 2 (9), P09007. eISSN 1748-0221. Article.
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A computer-aided detection (CAD) system for the identification of lung internal nodules in low-dose multi-detector helical Computed Tomography (CT) images was developed in the framework of the MAGIC-5 project. The three modules of our lung CAD system, a segmentation algorithm for lung internal region identification, a multi-scale dot-enhancement filter for nodule candidate selection and a multi-scale neural technique for false positive finding reduction, are described. The results obtained on a dataset of low-dose and thin-slice CT scans are shown in terms of free response receiver operating characteristic (FROC) curves and discussed.
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