Enhancing Two Dimensional Magnetic Resonance Image Using Generative Adversarial Network
Author:
Affiliation:
1. College of Engineering,Dept. of Computer Engineering & IT,Pune
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9986304/9986356/09986448.pdf?arnumber=9986448
Reference29 articles.
1. Efficient and Accurate MRI Super-Resolution Using a Generative Adversarial Network and 3D Multi-level Densely Connected Network
2. How Can We Make Gan Perform Better in Single Medical Image Super-Resolution? A Lesion Focused Multi-Scale Approach
3. U-net: Convolutional networks for biomedical image segmentation;ronneberger;International Conference on Medical image computing and computer-assisted inter-vention,2015
4. Super-Resolution using GANs for Medical Imaging
5. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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. A Systematic Review on Generative Adversarial Network (GAN): Challenges and Future Directions;Archives of Computational Methods in Engineering;2024-05-14
2. Medical Image Synthesis Using Generative Adversarial Networks;GANs for Data Augmentation in Healthcare;2023
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