CorrDiff: Corrective Diffusion Model for Accurate MRI Brain Tumor Segmentation-Reference-Cited by-同舟云学术

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CorrDiff: Corrective Diffusion Model for Accurate MRI Brain Tumor Segmentation

Published:2024-03 Issue:3 Volume:28 Page:1587-1598
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Li Wenqing¹^ORCID,Huang Wenhui¹^ORCID,Zheng Yuanjie¹^ORCID

Affiliation:

1. School of Information Science and Engineering, Shandong Normal University, Jinan, China

Funder

National Natural Science Foundation of China

Youth Innovation Technology Project of Higher Education in Shandong Province, China

Provincial Natural Science Foundation, Shandong, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10461324/10398439.pdf?arnumber=10398439

Reference59 articles.

1. AI in Medical Imaging Informatics: Current Challenges and Future Directions

2. A review of recent progress in deep learning-based methods for MRI brain tumor segmentation

3. Information bottleneck-based interpretable multitask network for breast cancer classification and segmentation

4. U-Net: Convolutional Networks for Biomedical Image Segmentation

5. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. HiDiffSeg: A hierarchical diffusion model for blood vessel segmentation in retinal fundus images;Expert Systems with Applications;2024-11

2. Brain Tumor Detection and Segmentation using CNN and Optimised Edge Features;2024 10th International Conference on Communication and Signal Processing (ICCSP);2024-04-12

3. Discrete residual diffusion model for high-resolution prostate MRI synthesis;Physics in Medicine & Biology;2024-02-26

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