Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
An introduction to splines for use in computer graphics & geometric modeling
An introduction to splines for use in computer graphics & geometric modeling
Analysis of the Pancreato-Biliary System from MRCP
CBMS '05 Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems
A multistage adaptive thresholding method
Pattern Recognition Letters
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Stones in the biliary tract are routinely identified using MRCP (magnetic resonance cholangiopancreatography). The noisy nature of the images, as well as varying intensity, size and location of the stones, defeat most automatic detection algorithms, making computer-aided diagnosis difficult. This paper proposes a multi-stage segment-based scheme for semi-automated detection of choledocholithiasis and cholelithiasis in the MRCP images, producing good performance in tests, differentiating them from ''normal'' MRCP images. With the high success rate of over 90%, refinement of the scheme could be applicable in the clinical environment as a tool in aiding diagnosis, with possible applications in telemedicine.