Diabetic retinopathy detection and severity classification using optimized deep learning with explainable AI technique
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-18863-z.pdf
Reference73 articles.
1. Gadkari SS, Maskati QB, Nayak BK (2016) Prevalence of diabetic retinopathy in India: The All India Ophthalmological Society Diabetic Retinopathy Eye Screening Study 2014. Indian J Ophthalmol 64(1):38–44. https://doi.org/10.4103/0301-4738.178144
2. Balasopoulou A et al (2017) Symposium recent advances and challenges in the management of retinoblastoma Globe - saving treatments. BMC Ophthalmol 17(1):1. https://doi.org/10.4103/ijo.IJO
3. Lalithadevi B, Krishnaveni S (2022) Detection of diabetic retinopathy and related retinal disorders using fundus images based on deep learning and image processing techniques: A comprehensive review. Concurr Comput Pract Exp 34(19):1–41. https://doi.org/10.1002/cpe.7032
4. Elwin JGR, Mandala J, Maram B, Kumar RR (2022) Ar-HGSO: Autoregressive-Henry gas sailfish optimization enabled deep learning model for diabetic retinopathy detection and severity level classification. Biomed Signal Process Control 77:103712. https://doi.org/10.1016/j.bspc.2022.103712
5. Gundluru N, Rajput DS, Lakshmanna K, Kaluri R, Shorfuzzaman M, Uddin M, Khan MAR (2022) Enhancement of detection of diabetic retinopathy using Harris hawks optimization with deep learning model, Comput Intell Neurosci, Article ID 8512469, 13 pp. https://doi.org/10.1155/2022/8512469
Cited by 4 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. Multiplexing Multi-Scale Features Network for Salient Target Detection;Applied Sciences;2024-09-05
2. Explainable AI in Healthcare: Systematic Review of Clinical Decision Support Systems;2024-08-10
3. Diabetic retinopathy detection using a well-calibrated uncertainty aware convolutional neural network;Multimedia Tools and Applications;2024-07-24
4. Enhancing Early-Stage Diabetic Retinopathy Detection Using a Weighted Ensemble of Deep Neural Networks;IEEE Access;2024
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