Cross-Modal Consistency for Single-Modal MR Image Segmentation-Reference-Cited by-同舟云学术

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Cross-Modal Consistency for Single-Modal MR Image Segmentation

Published:2024-09 Issue:9 Volume:71 Page:2557-2567
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Xu Wenxuan¹^ORCID,Li Cangxin¹^ORCID,Bian Yun²^ORCID,Meng Qingquan¹^ORCID,Zhu Weifang¹^ORCID,Shi Fei¹^ORCID,Chen Xinjian¹^ORCID,Shao Chengwei³^ORCID,Xiang Dehui⁴^ORCID

Affiliation:

1. School of Electronic and Information Engineering, Soochow University, China

2. Department of Radiology, Changhai Hospital, The Navy Military Medical University, Shanghai, China

3. Department of Radiology, Changhai Hospital, The Navy Military Medical University, China

4. School of Electronic and Information Engineering, Soochow University,, Suzhou, China

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/10/10643372/10477591.pdf?arnumber=10477591

Reference48 articles.

1. CE-Net: Context Encoder Network for 2D Medical Image Segmentation

2. CPFNet: Context Pyramid Fusion Network for Medical Image Segmentation

3. ResUNet++: An Advanced Architecture for Medical Image Segmentation

4. Incomplete multi-modal representation learning for Alzheimer’s disease diagnosis

5. Automatic segmentation of head and neck tumors and nodal metastases in PET-CT scans;Andrearczyk,2020

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