Optimization of CAD System Using Adaptive Simulated Annealing for Digital Mammography
Abstract
Mammography plays an important role in the detection and diagnosis of breast cancer. Although computer-aided detection (CAD) scheme is essential and acts as second opinion for the detection and diagnosis of breast cancer, its performance for SFM is not suitable for clinical trial due to the lack of full optimization for CAD system. In addition, current CAD system is not evaluated on FFDM images. The purpose of this study is to develop a new kind of fully optimized CAD system for PFDM using a global optimization algorithm to improve its performance on sensitivity and specificity in mass and MCCs detection on mammograms. In the initial grant year, the major accomplishments are as follows: (1) Databases for training and testing of CAD system performance have been constructed and corresponding truth files have been generated for FFDM and SFM respectively. (2) Performance of current CAD system for the detection and diagnosis of breast cancer has been retrospectively evaluated on FFDM and SFM images, respectively. (3) CAD modules have been developed or modified for FFDM.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 2002
- Accession Number
- ADA408701
Entities
People
- Wei Qian
- Xuejun Sun
Organizations
- University of South Florida