Multiple lesion segmentation in diabetic retinopathy with dual-input attentive RefineNet
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03204-0.pdf
Reference38 articles.
1. Ting DSW, Cheung GCM, Wong TY (2016) Diabetic retinopathy: global prevalence, major risk factors, screening practices and public health challenges: a review. Clin Exper Ophthalmol 44(4):260–277
2. Yau JWY, Rogers SL, Kawasaki R, Lamoureux EL, Kowalski JW, Bek T, Chen S-J, Dekker JM, Fletcher A, Grauslund J et al (2012) Global prevalence and major risk factors of diabetic retinopathy. Diabetes Care 35(3):556–564
3. Salamat N, Missen MMS, Rashid A (2019) Diabetic retinopathy techniques in retinal images: A review. Artif Intell Med 97:168–188
4. Stolte S, Fang R (2020) A survey on medical image analysis in diabetic retinopathy. Med Image Anal 64:101742
5. Gulshan V, Peng L, Coram M, Stumpe MC, Wu D, Narayanaswamy A, Venugopalan S, Widner K, Madams T, Cuadros J et al (2016) Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. Jama 316(22):2402–2410
Cited by 12 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 multi-lesion segmentation method for diabetic retinopathy based on location information guidance;Multimedia Tools and Applications;2024-06-19
2. Simultaneous Detection of the Optic Disc and Exudates in Color Retinal Images;2024 5th Technology Innovation Management and Engineering Science International Conference (TIMES-iCON);2024-06-19
3. Segmentation of hard exudate lesions in color fundus image using two-stage CNN-based methods;Expert Systems with Applications;2024-05
4. Advances in retinal microaneurysms detection, segmentation and datasets for the diagnosis of diabetic retinopathy: a systematic literature review;Multimedia Tools and Applications;2024-02-13
5. Lesion-aware knowledge distillation for diabetic retinopathy lesion segmentation;Applied Intelligence;2024-01
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