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Discriminant sub-dictionary learning with adaptive multiscale superpixel representation for hyperspectral image classification.

, , , , , and . Neurocomputing, (2020)

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A fuzzy clustering with bounded spatial probability for image segmentation., and . FUZZ-IEEE, page 1-6. IEEE, (2017)Brain MRI image segmentation based on learning local variational Gaussian mixture models., , and . Neurocomputing, (2016)PRGAN: A Progressive Refined GAN for Lesion Localization and Segmentation on High-Resolution Retinal Fundus Photography., , , and . PRCV (2), volume 13535 of Lecture Notes in Computer Science, page 274-285. Springer, (2022)Gaussian Distribution Prior Based Multi-view Self-supervised Learning for Serous Retinal Detachment Segmentation., , , , , and . ACPR (2), volume 13189 of Lecture Notes in Computer Science, page 297-306. Springer, (2021)OCTA-500: A retinal dataset for optical coherence tomography angiography study., , , , , , , , , and . Medical Image Anal., (2024)Reweighted Sparse Subspace Clustering Based on Fractional-Order Function., and . IScIDE, volume 10559 of Lecture Notes in Computer Science, page 412-422. Springer, (2017)A fuzzy clustering algorithm with robust spatially constraint for brain MR image segmentation., , and . FUZZ-IEEE, page 202-209. IEEE, (2014)Interactive Image Segmentation via Pairwise Likelihood Learning., , , , , and . IJCAI, page 2957-2963. ijcai.org, (2017)A modified possibilistic fuzzy c-means clustering algorithm for bias field estimation and segmentation of brain MR image., , and . Comput. Medical Imaging Graph., 35 (5): 383-397 (2011)Global Manifold Learning for Interactive Image Segmentation., , , , and . IEEE Trans. Multim., (2021)