Diabetic retinopathy classification for supervised machine learning algorithms

被引：0
作者：
Luis Filipe Nakayama
Lucas Zago Ribeiro
Mariana Batista Gonçalves
Daniel A. Ferraz
Helen Nazareth Veloso dos Santos
Fernando Korn Malerbi
Paulo Henrique Morales
Mauricio Maia
Caio Vinicius Saito Regatieri
Rubens Belfort Mattos
机构：
[1] Universidade Federal de São Paulo - EPM,Physician, Department of Ophthalmology
[2] IPEPO,Instituto Paulista de Estudos e Pesquisas em Oftalmologia
[3] Vision Institute,NIHR Biomedical Research Centre for Ophthalmology, Moorfield Eye Hospital
[4] NHS Foundation Trust,undefined
[5] and UCL Institute of Ophthalmology,undefined
来源：
International Journal of Retina and Vitreous | / 8卷
关键词：
Diabetic retinopathy classifications; Artificial intelligence; Datasets;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
[31]   Classification of Diabetic Cardiomyopathy-Related Cells Using Machine Learning [J].
Uğur Dalaman ;
Sevgi Şengül Ayan ;
Nazmi Yaraş .
Moscow University Physics Bulletin, 2022, 77 :846-857
[32]   Classification of Diabetic Cardiomyopathy-Related Cells Using Machine Learning [J].
Dalaman, Ugur ;
Ayan, Sevgi Senguel ;
Yaras, Nazmi .
MOSCOW UNIVERSITY PHYSICS BULLETIN, 2022, 77 (06) :846-857
[33]   Novel artificial intelligence algorithms for diabetic retinopathy and diabetic macular edema [J].
Yao, Jie ;
Lim, Joshua ;
Lim, Gilbert Yong San ;
Ong, Jasmine Chiat Ling ;
Ke, Yuhe ;
Tan, Ting Fang ;
Tan, Tien-En ;
Vujosevic, Stela ;
Ting, Daniel Shu Wei .
EYE AND VISION, 2024, 11 (01)
[34]   Deep Learning-Based Algorithms in Screening of Diabetic Retinopathy: A Systematic Review of Diagnostic Performance [J].
Nielsen, Katrine B. ;
Lautrup, Mie L. ;
Andersen, Jakob K. H. ;
Savarimuthu, Thiusius R. ;
Grauslund, Jakob .
OPHTHALMOLOGY RETINA, 2019, 3 (04) :294-304
[35]   Influence of Different Types of Retinal Cameras on the Performance of Deep Learning Algorithms in Diabetic Retinopathy Screening [J].
Srinivasan, Ramyaa ;
Surya, Janani ;
Ruamviboonsuk, Paisan ;
Chotcomwongse, Peranut ;
Raman, Rajiv .
LIFE-BASEL, 2022, 12 (10)
[36]   Classification of diabetic retinopathy: Past, present and future [J].
Yang, Zhengwei ;
Tan, Tien-En ;
Shao, Yan ;
Wong, Tien Yin ;
Li, Xiaorong .
FRONTIERS IN ENDOCRINOLOGY, 2022, 13
[37]   MSAmix-Net: Diabetic Retinopathy Classification [J].
Gao, Jianyun ;
Li, Shu ;
Chen, Yiwen ;
Xiang, Rongwu .
IEEE ACCESS, 2024, 12 :185757-185767
[38]   Supervised Machine Learning Based Multi-Task Artificial Intelligence Classification of Retinopathies [J].
Alam, Minhaj ;
Le, David ;
Lim, Jennifer, I ;
Chan, Robison V. P. ;
Yao, Xincheng .
JOURNAL OF CLINICAL MEDICINE, 2019, 8 (06)
[39]   Supervised Machine Learning Algorithms Can Predict Penetration Resistance in Mineral-fertilized Soils [J].
Massah, Jafar ;
Vakilian, Keyvan Asefpour ;
Torktaz, Somayeh .
COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS, 2019, 50 (17) :2169-2177
[40]   Performance Comparison of Multiple Supervised Machine Learning Algorithms for COVID-19 Mortality Prediction [J].
Pyne, Auishik ;
Anower, Md Shamim .
2022 SECOND INTERNATIONAL CONFERENCE ON ADVANCES IN ELECTRICAL, COMPUTING, COMMUNICATION AND SUSTAINABLE TECHNOLOGIES (ICAECT), 2022,
12345