Multimodal Brain Tumor Segmentation Boosted by Monomodal Normal Brain Images-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Multimodal Brain Tumor Segmentation Boosted by Monomodal Normal Brain Images

Published:2024 Issue: Volume:33 Page:1199-1210
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Liu Huabing¹^ORCID,Ni Zhengze¹^ORCID,Nie Dong²^ORCID,Shen Dinggang³^ORCID,Wang Jinda⁴,Tang Zhenyu¹^ORCID

Affiliation:

1. School of Computer Science and Engineering, Beihang University, Beijing, China

2. Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

3. State Key Laboratory of Advanced Medical Materials and Devices, School of Biomedical Engineering, ShanghaiTech University, Shanghai, China

4. Senior Department of Cardiology, Sixth Medical Center of PLA General Hospital, Beijing, China

Funder

National Natural Science Foundation of China

Beijing Municipal Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/83/10346232/10422779.pdf?arnumber=10422779

Reference44 articles.

1. Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks

2. Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

3. Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images

4. Cross-modality deep feature learning for brain tumor segmentation

5. TransBTS: Multimodal Brain Tumor Segmentation Using Transformer

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. Domain Based Medical Image Testing Using Attention Model;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17

2. Fine-Grained Medical Image Synthesis with Dual-Attention Adversarial Learning;Lecture Notes in Computer Science;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3