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.
@article{arxiv.physics/0507153,
title = {Pre-processing methods for nodule detection in lung CT},
author = {S. C. Cheran and P. Delogu and I. De Mitri and G. De Nunzio and M. E. Fantacci and F. Fauci and G. Gargano and E. Lopez Torres and R. Massafra and P. Oliva and A. Preite Martinez and G. Raso and A. Retico and S. Stumbo and A. Tata},
journal= {arXiv preprint arXiv:physics/0507153},
year = {2007}
}
Comments
5 pages, 2 figures, Computer Assisted Radiology and Surgery, Proceedings of the 19th International Congress and Exhibition, Berlin, June 22 - 25, 2005