Brain tumor segmentation in MRI with multi-modality spatial information enhancement and boundary shape correction
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference48 articles.
1. Feature fusion and latent feature learning guided brain tumor segmentation and missing modality recovery network;Zhou;Pattern Recognit.,2023
2. An effective CNN and transformer complementary network for medical image segmentation;Yuan;Pattern Recognit.,2023
3. Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI;Zhu;Inf. Fusion,2023
4. Brain segmentation based on multi-atlas and diffeomorphism guided 3D fully convolutional network ensembles;Wu;Pattern Recognit.,2021
5. U-net: Convolutional networks for biomedical image segmentation;Ronneberger,2015
Cited by 7 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. Artificial intelligence: illuminating the depths of the tumor microenvironment;Journal of Translational Medicine;2024-08-29
2. Deep-learning-based segmentation of perivascular spaces on T2-Weighted 3T magnetic resonance images;Frontiers in Aging Neuroscience;2024-08-29
3. Multimodal Fusion for Enhanced Semantic Segmentation in Brain Tumor Imaging: Integrating Deep Learning and Guided Filtering Via Advanced 3D Semantic Segmentation Architectures;International Journal of Imaging Systems and Technology;2024-08-12
4. LARS: Remote Sensing Small Object Detection Network Based on Adaptive Channel Attention and Large Kernel Adaptation;Remote Sensing;2024-08-08
5. P-CNN: Percept-CNN for semantic segmentation;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2024-08-06
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