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Title: Medical image segmentation with minimal path deformable models
Authors: Yan, P.
Kassim, A.A. 
Issue Date: 2004
Citation: Yan, P.,Kassim, A.A. (2004). Medical image segmentation with minimal path deformable models. Proceedings - International Conference on Image Processing, ICIP 4 : 2733-2736. ScholarBank@NUS Repository.
Abstract: This paper presents an algorithm that segments medical images by extracting object contours. It delineates object boundaries by detecting a path with the minimum energy on the image. A worm algorithm based on deformable models is proposed to find the minimal path by using the dynamic programming technique. The proposed algorithm overcomes the shortcomings of traditional deformable models such as fastidious initialization and inefficiency on segmenting objects with complex shapes or topologies. After presenting the algorithm, its performance on various synthetic and medical images is shown. Experimental results indicate that the proposed algorithm is robust to noise and edge discontinuities. © 2004 IEEE.
Source Title: Proceedings - International Conference on Image Processing, ICIP
ISBN: 0780385543
ISSN: 15224880
DOI: 10.1109/ICIP.2004.1421669
Appears in Collections:Staff Publications

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