Author:
Amin Javaria,Shazadi Irum,Sharif Muhammad,Yasmin Mussarat,Almujally Nouf Abdullah,Nam Yunyoung
Funder
Ministry of Trade, Industry and Energy
Ministry of Science, ICT and Future Planning
National Research Foundation of Korea
Korea Institute for Advancement of Technology
Division of Human Resource Development
Soonchunhyang University
Princess Nourah bint Abdulrahman University
Reference60 articles.
1. Efficient hybrid approach to segment and classify exudates for DR prediction;Sharif;Multimed. Tool. Appl.,2020
2. A human-centered evaluation of a deep learning system deployed in clinics for the detection of diabetic retinopathy;Beede,2020
3. A review on recent developments for detection of diabetic retinopathy;Amin;Sci. Tech. Rep.,2016
4. Diabetic retinopathy detection and classification using hybrid feature set;Amin;Microsc. Res. Tech.,2018
5. Early detection of diabetic retinopathy based on deep learning and ultra-wide-field fundus images;Oh;Sci. Rep.,2021
Cited by
1 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