Preprocessing methods for nodule detection in lung CT

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 d...

Full description

Saved in:
Bibliographic Details
Published in:International Congress series 2005-05, Vol.1281, p.1099-1103
Main Authors: Delogu, P., Cheran, S.C., De Mitri, I., De Nunzio, G., Fantacci, M.E., Fauci, F., Gargano, G., Lopez Torres, E., Massafra, R., Oliva, P., Preite Martinez, A., Raso, G., Retico, A., Stumbo, S., Tata, A.
Format: Article
Language:English
Subjects:
Low-dose lung MSCT
Lung nodules detection
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0531-5131
1873-6157
DOI:10.1016/j.ics.2005.03.183