A real time cloud-based framework for glaucoma screening using EfficientNet
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-021-11559-8.pdf
Reference55 articles.
1. Abdel-Hamid L (2020) Glaucoma detection from retinal images using statistical and textural wavelet features. J Digit Imaging 33(1):151–158
2. Abdullah M, Fraz MM, Barman SA (2016) Localization and segmentation of optic disc in retinal images using circular Hough transform and grow-cut algorithm. PeerJ 4:e2003
3. Aguilar-Rivera M, Erudaitius DT, Wu VM, Tantiongloc JC, Kang DY, Coleman TP et al (2020) Smart electronic eyedrop bottle for unobtrusive monitoring of glaucoma medication adherence. Sensors 20(9):2570
4. Al-Bander B, Al-Nuaimy W, Al-Taee MA, Zheng Y (2017) Automated glaucoma diagnosis using deep learning approach. In: 2017 14th International multi-conference on systems, signals devices (SSD). IEEE, Marrakech, pp 207–210
5. Almazroa A, Alodhayb S, Raahemifar K, Lakshminarayanan V (2017) Optic cup segmentation: type-II fuzzy thresholding approach and blood vessel extraction. Clin Ophthalmol (Auckland, NZ) 11:841
Cited by 18 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. CACBL-Net: a lightweight skin cancer detection system for portable diagnostic devices using deep learning based channel attention and adaptive class balanced focal loss function;Multimedia Tools and Applications;2024-06-06
2. An efficient framework for optic disk segmentation and classification of Glaucoma on fundus images;Biomedical Signal Processing and Control;2024-03
3. Automatic glaucoma detection from fundus images using transfer learning;Multimedia Tools and Applications;2024-02-28
4. Hybrid Deep Learning Framework for Glaucoma Detection Using Fundus Images;Lecture Notes in Networks and Systems;2024
5. Deep Learning Based Smoking Detection System For Public Areas;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29
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