Assembling a Learnable Mumford–Shah Type Model with Multigrid Technique for Image Segmentation-Reference-Cited by-同舟云学术

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Assembling a Learnable Mumford–Shah Type Model with Multigrid Technique for Image Segmentation

Published:2024-05-22 Issue:2 Volume:17 Page:1007-1039
ISSN:1936-4954
Container-title:SIAM Journal on Imaging Sciences
language:en
Short-container-title:SIAM J. Imaging Sci.

Author:

Meng Junying¹,Guo Weihong²^ORCID,Liu Jun³^ORCID,Yang Mingrui⁴

Affiliation:

1. Laboratory of Mathematics and Complex Systems (Ministry of Education of China), School of Mathematical Sciences, Beijing Normal University, Beijing 100875 China.

2. Co-corresponding author. Department of Mathematics, Applied Mathematics and Statistics, Case Western Reserve University, Cleveland, OH 44106 USA.

3. Co-corresponding author. Laboratory of Mathematics and Complex Systems Ministry of Education of China, School of Mathematical Sciences, Beijing Normal University, Beijing 100875 China.

4. Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195 USA.

Funder

National Natural Science Foundation of China

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Reference51 articles.

1. Active contours without edges

2. TransAttUnet: Multi-Level Attention-Guided U-Net With Transformer for Medical Image Segmentation

3. A Nonlinear Multigrid Method for Total Variation Minimization from Image Restoration

4. Using Prior Shape and Points in Medical Image Segmentation

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