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Semi-Automatic Level Set Segmentation of Liver Tumors combining a Spiral Scanning Technique with Supervised Fuzzy Pixel Cassification
Medical Image Analysis, 09/23/09
Smeets D et al. – The described method outperformed the semi–automatic methods of the other participants of the "3D Liver Tumor Segmentation Challenge 2008". Evaluating the algorithm on the provided test data leads to an average overlap error of 32.6% and an average volume difference of 17.9%. The average, the rms and the maximum surface distance are 2.0, 2.6 and 10.1 mm respectively.
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