The use of image processing techniques and Computer Aided Diagnosis (CAD) systems has proved to be effective for the improvement of radiologistsrsquo diagnosis, especially in the case of lung nodules detection. In this paper we describe a method for processing Postero Anterior chest radiographs which extracts a set of nodule candidate regions characterized by low cardinality and high sensitivity ratio.
Nodule detection in postero anterior chest radiographs / P. Campadelli, E. Casiraghi - In: Medical image computing and computer-assisted intervention, MICCAI 2004 : 7th International conference : Saint-Malo, France, september 26-29, 2004 : proceedings. Part 2 / [a cura di] C. Barillot, D. R. Haynor, P. Hellier. - Berlin : Springer, 2004. - ISBN 9783540229773. - pp. 1048-1049 (( Intervento presentato al 7. convegno Medical Image Computing and Computed Assisted Intervention (MICCAI) tenutosi a Saint-Malo, France nel 2004.
Nodule detection in postero anterior chest radiographs
P. Campadelli;E. Casiraghi
2004
Abstract
The use of image processing techniques and Computer Aided Diagnosis (CAD) systems has proved to be effective for the improvement of radiologistsrsquo diagnosis, especially in the case of lung nodules detection. In this paper we describe a method for processing Postero Anterior chest radiographs which extracts a set of nodule candidate regions characterized by low cardinality and high sensitivity ratio.
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