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Image Segmentation of Brainbow Images by Using Dirichlet Mixture Models.

, , and . MLDM Posters, page 129-140. ibai Publishing, (2013)

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New ultrasound image-segmentation algorithm based on an early vision model and discrete snake model., , and . Medical Imaging: Image Processing, volume 3338 of SPIE Proceedings, SPIE, (1998)A crosstalk tolerated neural segmentation methodology for Brainbow images., , , and . ISABEL, page 190:1-190:5. ACM, (2011)A discrete region competition approach incorporating weak edge enhancement for ultrasound image segmentation., , and . Pattern Recognit. Lett., 24 (4-5): 693-704 (2003)Computational Complexity Reduction of Neural Networks of Brain Tumor Image Segmentation by Introducing Fermi-Dirac Correction Functions., , , and . Entropy, 23 (2): 223 (2021)Improved spectral matting by iterative K-means clustering and the modularity measure., , and . ICASSP, page 1165-1168. IEEE, (2012)Big Data Model Building Using Dimension Reduction and Sample Selection., , , , and . J. Comput. Graph. Stat., 33 (2): 435-447 (2024)String-Averaging Expectation-Maximization for Maximum Likelihood Estimation in Emission Tomography., , , , , , and . CoRR, (2014)Electrocardiographic Machine Learning to Predict Left Ventricular Diastolic Dysfunction in Asian Young Male Adults., and . IEEE Access, (2021)Budgeted Algorithm for Linearized Confidence-Weighted Learning., , and . ICCBDC, page 6-10. ACM, (2019)Iterative image reconstruction with random correction for PET studies., , , , , and . Medical Imaging: Image Processing, volume 3979 of SPIE Proceedings, SPIE, (2000)