Reducing segmentation failures in cardiac MRI via late feature fusion and GAN-based augmentation
Author:
Funder
European Commission
Horizon 2020
Publisher
Elsevier BV
Subject
Health Informatics,Computer Science Applications
Reference75 articles.
1. Machine learning in cardiovascular magnetic resonance: basic concepts and applications;Leiner;J. Cardiovasc. Magn. Reson.,2019
2. Deep learning for cardiac image segmentation: A review;Chen;Front. Cardiovasc. Med.,2020
3. Deep learning and artificial intelligence in radiology: Current applications and future directions;Yasaka;PLoS Med.,2018
4. Deep generative medical image harmonization for improving cross-site generalization in deep learning predictors;Bashyam;J. Magn. Reson. Imag.,2022
5. Quantitative CMR population imaging on 20,000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation;Attar;Med. Image Anal.,2019
Cited by 12 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-Based Classification of CT Images Using a Hybrid SpinalZFNet;Interdisciplinary Sciences: Computational Life Sciences;2024-08-21
2. A Multi-Stage Automatic Method Based on a Combination of Fully Convolutional Networks for Cardiac Segmentation in Short-Axis MRI;Applied Sciences;2024-08-20
3. A synergistic fusion of shallow and deep generative model to enhance machine learning efficacy and classification performance in data-scarce environments;International Journal of Information Technology;2024-08-09
4. Enhancing machine learning efficacy and fairness in automated decision systems: an adversarial deep generative modeling with CoBS-TGAN approach in imbalanced and biased datasets;International Journal of System Assurance Engineering and Management;2024-07-29
5. CardSegNet: An adaptive hybrid CNN-vision transformer model for heart region segmentation in cardiac MRI;Computerized Medical Imaging and Graphics;2024-07
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