Patch-Based Fuzzy Local Weighted C-Means Clustering Algorithm with Correntropy Induced Metric for Noise Image Segmentation-Reference-Cited by-同舟云学术

Patch-Based Fuzzy Local Weighted C-Means Clustering Algorithm with Correntropy Induced Metric for Noise Image Segmentation

Published:2023-03-08 Issue:5 Volume:25 Page:1991-2006
ISSN:1562-2479
Container-title:International Journal of Fuzzy Systems
language:en
Short-container-title:Int. J. Fuzzy Syst.

Author:

Gao Yunlong,Li Huidui,Li Jianpeng,Cao Chao,Pan Jinyan^ORCID

Funder

National Natural Science Foundation of China

Scientific Research Foundation of Third Institute of Oceanography

Natural Science Foundation of Fujian Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software,Information Systems,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s40815-023-01485-2.pdf

Reference36 articles.

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3. Sun, Y., Jian, M., Zhang, X.: Reformed residual network with sparse feedbacks for 3d reconstruction from a single image. IEEE Access 6, 70045–70052 (2018)

4. Liu, H., Xu, J., Wu, Y., Guo, Q., Ibragimov, B., Xing, L.: Learning deconvolutional deep neural network for high resolution medical image reconstruction. Inf. Sci. 468, 142–154 (2018)

5. Hesamian, M.H., Jia, W., He, X., Kennedy, P.: Deep learning techniques for medical image segmentation: achievements and challenges. J. Digit. Imaging 32(4), 582–596 (2019)

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