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A novel technique for reducing false positive detections in CAD-CTC

Sadleir, Robert J.T. (2006) A novel technique for reducing false positive detections in CAD-CTC. In: CIICT 2006 - China-Ireland International Conference on Information and Communications Technologies, 18-19 October 2006, Hangzhou, China.

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Computed tomography colonoscopy (CTC) is an emerging alternative to conventional colonoscopy for colorectal cancer screening. A series of computer assisted diagnosis (CAD) techniques have been developed for use in CTC. Although high levels of accuracy for polyp detection have been reported, the problem of excessive false positive detections still warrants attention. We present a CAD-CTC technique that has been developed specifically to reduce the number of false positive detections without compromising polyp detection accuracy. The technique incorporates a novel intermediate stage that restructures initial polyp candidates so that they conform more closely to the shape of actual polyps. The restructuring process causes false positives to expand to include more false positive characteristics, whereas, actual polyps retain their original polyp-like characteristics. An evaluation of the documented technique demonstrated that it can be successfully applied to the majority of polyp candidates, and that its use can reduce the number of false positive detections by up to 57.8%.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:colon cancer; polyp; CTC; curvature; CAD;
Subjects:Computer Science > Image processing
Medical Sciences > Cancer
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Initiatives and Centres > Research Institute for Networks and Communications Engineering (RINCE)
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:4670
Deposited On:03 Jul 2009 14:13 by DORAS Administrator. Last Modified 20 Oct 2016 11:39

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