Using local context information to improve automatic mammographic mass detection
- PMID: 20841893
Using local context information to improve automatic mammographic mass detection
Abstract
Despite their promising application, current Computer-Aided Detection (CAD) systems face difficulties, especially in the detection of malignant masses -a major mammographic sign for breast cancer. One of the main problems is the large number of false positives prompted, which is a critical issue in screening programs where the number of normal cases is considerably large. A crucial determinant for this problem is the dependence of the CAD output on the single pixel-based locations initially detected. To refine the initial detection step, in this paper, we propose a novel approach by considering the context information between the neighbouring pixel features and classes for every initially detected suspicious location. Our modelling scheme is based on the Conditional Random Field technique and the mammographic features extracted by image processing techniques. In experimental study, we demonstrated the practical application of the approach and we compared its performance to that of a previously developed CAD system. The results demonstrated the superiority of the context modelling in terms of significantly improved accuracy without increase in computation efforts.
Similar articles
-
Influence of using manual or automatic breast density information in a mass detection CAD system.Acad Radiol. 2010 Jul;17(7):877-83. doi: 10.1016/j.acra.2010.04.013. Acad Radiol. 2010. PMID: 20540910
-
Improved mammographic CAD performance using multi-view information: a Bayesian network framework.Phys Med Biol. 2009 Mar 7;54(5):1131-47. doi: 10.1088/0031-9155/54/5/003. Epub 2009 Jan 27. Phys Med Biol. 2009. PMID: 19174596
-
A concentric morphology model for the detection of masses in mammography.IEEE Trans Med Imaging. 2007 Jun;26(6):880-9. doi: 10.1109/TMI.2007.895460. IEEE Trans Med Imaging. 2007. PMID: 17679338
-
Computer-based detection and prompting of mammographic abnormalities.Br J Radiol. 2004;77 Spec No 2:S194-200. doi: 10.1259/bjr/30116822. Br J Radiol. 2004. PMID: 15677361 Review.
-
Computer-aided detection for screening mammography.Acad Radiol. 2004 Oct;11(10):1139-43. doi: 10.1016/j.acra.2004.07.009. Acad Radiol. 2004. PMID: 15530806 Review.
Cited by
-
Probabilistic method for context-sensitive detection of polyps in CT colonography.Proc SPIE Int Soc Opt Eng. 2011 Mar 4;7963:10.1117/12.878207. doi: 10.1117/12.878207. Proc SPIE Int Soc Opt Eng. 2011. PMID: 24665192 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical
Miscellaneous
