The use of automatic systems in the analysis of medical images has proven to be very useful to radiologists, especially in the framework of screening programs, in which radiologists make their first diagnosis on the basis of images only, most of those corresponding to healthy patients, and have to distinguish pathological findings from non-pathological ones at an early stage. In particular, we are developing preprocessing methods to be applied for pulmonary nodule Computer Aided Detection in low-dose lung Multi Slice CT (computed tomography) images. (c) 2005 CARS & Elsevier B.V. All rights reserved.

Preprocessing methods for nodule detection in lung CT

DELOGU, PASQUALE;FANTACCI, MARIA EVELINA;
2005-01-01

Abstract

The use of automatic systems in the analysis of medical images has proven to be very useful to radiologists, especially in the framework of screening programs, in which radiologists make their first diagnosis on the basis of images only, most of those corresponding to healthy patients, and have to distinguish pathological findings from non-pathological ones at an early stage. In particular, we are developing preprocessing methods to be applied for pulmonary nodule Computer Aided Detection in low-dose lung Multi Slice CT (computed tomography) images. (c) 2005 CARS & Elsevier B.V. All rights reserved.
2005
Delogu, Pasquale; Cheran, Sc; De Mitri, I; De Nunzio, G; Fantacci, MARIA EVELINA; Fauci, F; Gargano, G; Torres, El; Massafra, R; Oliva, P; Martinez, Ap; Raso, G; Retico, A; Stumbo, S; Tata, A.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/180977
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