Back to Search
Start Over
Probabilistic framework for reliability analysis of information-theoretic CAD systems in mammography.
- Source :
-
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference [Conf Proc IEEE Eng Med Biol Soc] 2006; Vol. 2006, pp. 6113-6. - Publication Year :
- 2006
-
Abstract
- The purpose of this study is to develop and evaluate a probabilistic framework for reliability analysis of information-theoretic computer-assisted detection (IT-CAD) systems in mammography. The study builds upon our previous work on a feature-based reliability analysis technique tailored to traditional CAD systems developed with a supervised learning scheme. The present study proposes a probabilistic framework to facilitate application of the reliability analysis technique for knowledge-based CAD systems that are not feature-based. The study was based on an information-theoretic CAD system developed for detection of masses in screening mammograms from the Digital Database for Screening Mammography (DDSM). The experimental results reveal that the query-specific reliability estimate provided by the proposed probabilistic framework is an accurate predictor of CAD performance for the query case. It can also be successfully applied as a base for stratification of CAD predictions into clinically meaningful reliability groups (i.e., HIGH, MEDIUM, and LOW). Based on a leave-one-out sampling scheme and ROC analysis, the study demonstrated that the diagnostic performance of the IT-CAD is significantly higher for cases with HIGH reliability (A(z) = 0.92 +/- 0.03) than for those stratified as MEDIUM (A(z) = 0.84 +/- 0.02) or LOW reliability predictions (A(z) = 0.78 +/- 0.02).
- Subjects :
- Algorithms
Artificial Intelligence
Breast Diseases diagnostic imaging
Female
Humans
Information Systems
Mammography methods
Models, Statistical
Models, Theoretical
Pattern Recognition, Automated
Probability
ROC Curve
Radiographic Image Interpretation, Computer-Assisted
Reproducibility of Results
Signal Processing, Computer-Assisted
Breast Diseases diagnosis
Mammography instrumentation
Subjects
Details
- Language :
- English
- ISSN :
- 1557-170X
- Volume :
- 2006
- Database :
- MEDLINE
- Journal :
- Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
- Publication Type :
- Academic Journal
- Accession number :
- 17946741
- Full Text :
- https://doi.org/10.1109/IEMBS.2006.260500