Deep-Learning-Based Early Detection of Diabetic Retinopathy on Fundus Photography Using EfficientNet
Author:
Affiliation:
1. College of Management, Department of Business Administration, Shenzhen University, Shenzhen, China
Publisher
ACM
Reference19 articles.
1. The Prevalence of and Factors Associated With Diabetic Retinopathy in the Australian Population
2. Lin T. Goyal P. Girshick R. He K. and Dollár P. 2017. Focal loss for dense object detection. In ICCV. Lin T. Goyal P. Girshick R. He K. and Dollár P. 2017. Focal loss for dense object detection. In ICCV.
3. He K. Zhang X. Ren S. and Sun J. 2016. Deep residual learning for image recognition. In CVPR. He K. Zhang X. Ren S. and Sun J. 2016. Deep residual learning for image recognition. In CVPR.
4. Xie S. Girshick R. Dollár P. Tu Z. and He K. 2017. Aggregated residual transformations for deep neural networks. In CVPR. Xie S. Girshick R. Dollár P. Tu Z. and He K. 2017. Aggregated residual transformations for deep neural networks. In CVPR.
5. Hu J. Shen L. Albanie S. Sun G. and Wu E. 2018. Squeeze-and-excitation networks. In CVPR. Hu J. Shen L. Albanie S. Sun G. and Wu E. 2018. Squeeze-and-excitation networks. In CVPR.
Cited by 8 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. Harnessing ResNet50 and EfficientNetB5 for Detection of Diabetic Retinopathy Using Explainable AI;Lecture Notes in Networks and Systems;2024
2. Application of deep learning approaches for classification of diabetic retinopathy stages from fundus retinal images: a survey;Multimedia Tools and Applications;2023-10-16
3. An early-stage diagnosis of diabetic retinopathy based on ensemble framework;Signal, Image and Video Processing;2023-10-14
4. Comparative Analysis of Diabetic Retinopathy Classification Approaches Using Machine Learning and Deep Learning Techniques;Archives of Computational Methods in Engineering;2023-09-20
5. Retinal Disease Detection Using Deep Learning Techniques: A Comprehensive Review;Journal of Imaging;2023-04-18
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