Lung nodules detection and classification
Paola Campadelli, Elena Casiraghi and Giorgio Valentini
In: ICIP 05, The IEEE International Conference on Image Processing, Genova, Italy(2005).

Abstract

Image processing techniques and Computer Aided Diagnosis (CAD) systems have proved to be effective for the improvement of radiologists' diagnosis. In this paper a system which automatically detect lung nodules from Postero Anterior Chest Radiographs is presented. The system extract a set of candidate regions by applying to the radiograph three different and consecutive multi-scale schemes. The comparison of the result obtained and the ones presented in the literature show the efficacy of the multi-scale framework employed. Learning systems using as input different sets of features have been experimented for candidates classification, showing that Support Vector Machines (SVMs) can be successfully applied for this task.

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