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A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods., , , и . CoRR, (2023)Automatic atlas-based building of point distribution model for segmentation of anatomical structures from brain MRI., , и . ISSPA (2), стр. 629-630. IEEE, (2003)0-7803-7946-2.Possibilistic-clustering-based MR brain image segmentation with accurate initialization., , , , и . VCIP, том 5308 из SPIE Proceedings, SPIE, (2004)Histogram-Based Generation Method of Membership Function for Extracting Features of Brain Tissues on MRI Images., , , , , и . FSKD (1), том 3613 из Lecture Notes in Computer Science, стр. 189-194. Springer, (2005)Modelling and Tracking of Deformable Structures in Medical Images., , и . ICIG (2), том 9218 из Lecture Notes in Computer Science, стр. 475-490. Springer, (2015)Signal Separation with A Priori Knowledge Using Sparse Representation., и . Advances in Heuristic Signal Processing and Applications, Springer, (2013)SegTHOR: Segmentation of Thoracic Organs at Risk in CT images., , , и . CoRR, (2019)Deep Disentangled Representation Learning of Pet Images for Lymphoma Outcome Prediction., , , , и . ISBI, стр. 1-4. IEEE, (2020)Cerebral magnetic resonance image segmentation using fuzzy Markov Random Fields., , , , и . ISBI, стр. 237-240. IEEE, (2002)Prediction of Head-Neck Cancer Recurrence from Pet/CT Images with Havrda-Charvat Entropy., , , , , и . IPTA, стр. 1-5. IEEE, (2023)