Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation-Reference-Cited by-同舟云学术

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Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation

Published:2023-04-18 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
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Author:

Osman Yousuf Babiker M.¹,Li Cheng¹,Huang Weijian¹,Elsayed Nazik¹,Ying Leslie²,Zheng Hairong¹,Wang Shanshan¹

Affiliation:

1. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences,Paul C. Lauterbur Research Center for Biomedical Imaging,Shenzhen,China

2. University at Buffalo, The State University of New York,Department of Biomedical Engineering and Department of Electrical Engineering,New York,USA

Funder

National Natural Science Foundation of China

Youth Innovation Promotion Association

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10230311/10230322/10230326.pdf?arnumber=10230326

Reference18 articles.

1. A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint

2. 3d Unsupervised Kidney Graft Segmentation Based On Deep Learning And Multi-Sequence Mri

3. Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results;tarvainen;NIPS,2017

4. U-Net: deep learning for cell counting, detection, and morphometry

5. Positional contrastive learning for volumetric medical image segmentation;zeng;MICCAI,2021

Cited by 2 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. Brain tumor segmentation and survival time prediction using graph momentum fully convolutional network with modified Elman spike neural network;International Journal of Imaging Systems and Technology;2024-01

2. Collaborative Learning for Annotation‐Efficient Volumetric MR Image Segmentation;Journal of Magnetic Resonance Imaging;2023-12-29

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