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Numerous publications and commercial systems are available that deal with automatic detection of pulmonary nodules in thoracic computed tomography scans, but a comparative study where many systems are applied to the same data set has not yet been performed. This paper introduces ANODE09 ( http://anode09.isi.uu.nl), a database of 55 scans from a lung cancer(More)
A computer-aided detection (CAD) system for the identification of 1 lung internal nodules in low-dose multi-detector helical Computed To-mography (CT) images was developed in the framework of the MAGIC-5 project. The three modules of our lung CAD system, a segmenta-tion algorithm for lung internal region identification, a multi-scale dot-enhancement filter(More)
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