A fully optimized computer-aided diagnosis (CAD) system using system-oriented optimization algorithm has been developed for mass detection in digital mammography for the improvement of CAD performance on sensitivity and specificity. Based on a series of developed adaptive modules, simulated annealing (SA) algorithm is employed on CAD system optimization that is a typical combinatorial mixed-discrete optimization problem. The CAD system is optimized on a training database and evaluated through a test database, the cases in both databases are biopsy proven and selected by experienced radiologists. Both optimized and corresponding un-optimized CAD system have been evaluated using the same test database to compare the system performance. Obvious performance improvement has been obtained on optimized system. The results express the effectiveness of the method developed in this paper.

Date Published: 12 April 2002
PDF: 6 pages
Proc. SPIE 4686, Medical Imaging 2002: Image Perception, Observer Performance, and Technology Assessment, (12 April 2002); doi: 10.1117/12.462687

Published in SPIE Proceedings Vol. 4686:
Medical Imaging 2002: Image Perception, Observer Performance, and Technology Assessment
Dev Prasad Chakraborty; Elizabeth A. Krupinski, Editor(s)