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Fuzzy Statistical Unsupervised Learning Based Total Lesion Metabolic Activity Estimation in Positron Emission Tomography Images.

, , , , , , and . MLMI, volume 7009 of Lecture Notes in Computer Science, page 233-240. Springer, (2011)

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Quantitative comparison of automated PET volume delineation methodologies using simulated tumor lesions., , , , , , and . ISBI, page 653-656. IEEE, (2011)Revised guidelines for the clinical management of Lynch syndrome (HNPCC): recommendations by a group of European experts, , , , , , , , , and 26 other author(s). Gut, 62 (6): 812–823 (2013)Fuzzy Statistical Unsupervised Learning Based Total Lesion Metabolic Activity Estimation in Positron Emission Tomography Images., , , , , , and . MLMI, volume 7009 of Lecture Notes in Computer Science, page 233-240. Springer, (2011)SLAC: Statistical total lesion metabolic activity computation by fuzzy unsupervised learning of PET images., , , , , , , and . Mach. Vis. Appl., 24 (7): 1341-1358 (2013)Fuzzy Multi-class Statistical Modeling for Efficient Total Lesion Metabolic Activity Estimation from Realistic PET Images., , , , , , , and . MICCAI (1), volume 7510 of Lecture Notes in Computer Science, page 107-114. Springer, (2012)A textural feature based tumor therapy response prediction model for longitudinal evaluation with PET imaging., , , , , , , and . ISBI, page 1048-1051. IEEE, (2012)