Towards efficient medical lesion image super-resolution based on deep residual networks-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Towards efficient medical lesion image super-resolution based on deep residual networks

Published:2019-07 Issue: Volume:75 Page:1-10
ISSN:0923-5965
Container-title:Signal Processing: Image Communication
language:en
Short-container-title:Signal Processing: Image Communication

Author:

Ren Sheng,Jain Deepak Kumar,Guo Kehua,Xu Tao,Chi Tao

Funder

Natural Science Foundation of China

National Science Foundation of Hunan Province, China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference30 articles.

1. SOR: an optimized semantic ontology retrieval algorithm for heterogeneous multimedia big data;Guo;J. Comput. Sci.,2018

2. A cloud-edge computing framework for cyber-physical-social services;Wang;IEEE Commun. Mag.,2017

3. Flexible and efficient authenticated key agreement scheme for BANs based on physiological features;Tang;IEEE Trans. Mob. Comput.,2018

4. Energy efficient cluster-based dynamic routes adjustment approach for wireless sensor networks with mobile sinks;Wang;J. Supercomput.,2017

5. Recognition using adaptive local ternary patterns method;Yang;Neurocomputing,2016

Cited by 47 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. Multimodal image fusion for the detection of diabetic retinopathy using optimized explainable AI-based Light GBM classifier;Information Fusion;2024-11

2. Dual path features interaction network for efficient image super-resolution;Neurocomputing;2024-10

3. Let UNet Play an Adversarial Game: Investigating the Effect of Adversarial Training in Enhancing Low-Resolution MRI;Journal of Imaging Informatics in Medicine;2024-07-31

4. Medical image super-resolution for smart healthcare applications: A comprehensive survey;Information Fusion;2024-03

5. A novel approach to recognition of Alzheimer’s and Parkinson’s diseases: random subspace ensemble classifier based on deep hybrid features with a super-resolution image;PeerJ Computer Science;2024-02-27

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