A probabilistic framework for image information fusion with an application to mammographic analysis
- PMID: 22326491
- DOI: 10.1016/j.media.2012.01.003
A probabilistic framework for image information fusion with an application to mammographic analysis
Abstract
The recent increased interest in information fusion methods for solving complex problem, such as in image analysis, is motivated by the wish to better exploit the multitude of information, available from different sources, to enhance decision-making. In this paper, we propose a novel method, that advances the state of the art of fusing image information from different views, based on a special class of probabilistic graphical models, called causal independence models. The strength of this method is its ability to systematically and naturally capture uncertain domain knowledge, while performing information fusion in a computationally efficient way. We examine the value of the method for mammographic analysis and demonstrate its advantages in terms of explicit knowledge representation and accuracy (increase of at least 6.3% and 5.2% of true positive detection rates at 5% and 10% false positive rates) in comparison with previous single-view and multi-view systems, and benchmark fusion methods such as naïve Bayes and logistic regression.
Copyright © 2012 Elsevier B.V. All rights reserved.
Similar articles
-
Improved location features for linkage of regions across ipsilateral mammograms.Med Image Anal. 2013 Dec;17(8):1265-72. doi: 10.1016/j.media.2013.05.001. Epub 2013 May 13. Med Image Anal. 2013. PMID: 23731758
-
Mammogram-based discriminant fusion analysis for breast cancer diagnosis.Clin Imaging. 2012 Nov-Dec;36(6):710-6. doi: 10.1016/j.clinimag.2012.01.041. Epub 2012 Jun 8. Clin Imaging. 2012. PMID: 23153999
-
Improving performance of computer-aided detection of masses by incorporating bilateral mammographic density asymmetry: an assessment.Acad Radiol. 2012 Mar;19(3):303-10. doi: 10.1016/j.acra.2011.10.026. Epub 2011 Dec 14. Acad Radiol. 2012. PMID: 22173323 Free PMC article.
-
A review of automatic mass detection and segmentation in mammographic images.Med Image Anal. 2010 Apr;14(2):87-110. doi: 10.1016/j.media.2009.12.005. Epub 2009 Dec 29. Med Image Anal. 2010. PMID: 20071209 Review.
-
A comparison of breast tissue classification techniques.Med Image Comput Comput Assist Interv. 2006;9(Pt 2):872-9. doi: 10.1007/11866763_107. Med Image Comput Comput Assist Interv. 2006. PMID: 17354855 Review.
Cited by
-
Decision fusion in healthcare and medicine: a narrative review.Mhealth. 2022 Jan 20;8:8. doi: 10.21037/mhealth-21-15. eCollection 2022. Mhealth. 2022. PMID: 35178439 Free PMC article. Review.
-
Mode of birth after caesarean section: individual prediction scores using Scottish population data.BMC Pregnancy Childbirth. 2019 Feb 28;19(1):84. doi: 10.1186/s12884-019-2226-6. BMC Pregnancy Childbirth. 2019. PMID: 30819140 Free PMC article.
-
Computer-aided analysis of 64-slice coronary computed tomography angiography: a comparison with manual interpretation.Heart Int. 2013 Jan 22;8(1):e2. doi: 10.4081/hi.2013.e2. eCollection 2013. Heart Int. 2013. PMID: 24179636 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical
