Paper
13 March 2006 Performance tuning of candidate determination methods for computer aided detection of colon polyps
Author Affiliations +
Abstract
We introduce an intuitive measure of computer aided detection (CAD) system performance that can handle simultaneous variation of multiple parameters. On the example of CAD of colon polyps we demonstrate how this measure was used to find the optimal parameters and make improvements to the "water-plane" algorithm that finds initial polyp candidates on the colon wall. In particular, we improved the merging of overlapping clusters to only create fused clusters if they shared at least 50% of their vertices and adjusted size and thickness filter criteria to retain more true positive detections. The system, containing all optimizations, improved significantly over the original system that found initial detections based only on colon surface curvature. This improvement was measured by both free response operating curve (FROC) analysis and our new performance measure.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ingmar Bitter, Matthew Kelsey, and Ronald M. Summers "Performance tuning of candidate determination methods for computer aided detection of colon polyps", Proc. SPIE 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, 61431A (13 March 2006); https://doi.org/10.1117/12.653755
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KEYWORDS
Colon

Computer aided diagnosis and therapy

Computed tomography

Colorectal cancer

CAD systems

Algorithm development

Cancer

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