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Particle Swarm Optimization Based Fast Fuzzy C-Means Clustering for Liver CT Segmentation.

, , , and . Applications of Intelligent Optimization in Biology and Medicine, volume 96 of Intelligent Systems Reference Library, Springer, (2016)

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Skin cancer detection based on deep learning and entropy to detect outlier samples., , and . CoRR, (2019)Smoothed shock filtered defuzzification with Zernike moments for liver tumor extraction in MR images., , , , , , and . IPTA, page 17-22. IEEE, (2015)Melanoma detection using fuzzy C-means clustering coupled with mathematical morphology., , and . HIS, page 73-78. IEEE, (2014)A Deep Learning Based Approach to Skin Lesion Border Extraction With a Novel Edge Detector in Dermoscopy Images., , , , , and . IJCNN, page 1-7. IEEE, (2019)A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images., , , and . PeerJ Comput. Sci., (2020)Supervised Versus Unsupervised Deep Learning Based Methods for Skin Lesion Segmentation in Dermoscopy Images., , and . Canadian AI, volume 11489 of Lecture Notes in Computer Science, page 373-379. Springer, (2019)Self-Supervised Learning for Accurate Liver View Classification in Ultrasound Images with Minimal Labeled Data., , and . CVPR Workshops, page 3087-3093. IEEE, (2023)Particle Swarm Optimization Based Fast Fuzzy C-Means Clustering for Liver CT Segmentation., , , and . Applications of Intelligent Optimization in Biology and Medicine, volume 96 of Intelligent Systems Reference Library, Springer, (2016)Liver CT Image Segmentation with an Optimum Threshold Using Measure of Fuzziness., , , , , and . IBICA, volume 303 of Advances in Intelligent Systems and Computing, page 83-92. Springer, (2014)PSilhOuette: Towards an Optimal Number of Clusters Using a Nested Particle Swarm Approach for Liver CT Image Segmentation., , and . AMLTA, volume 488 of Communications in Computer and Information Science, page 331-343. Springer, (2014)