计算机工程与应用2024，Vol.60Issue(8)：16-30,15.DOI:10.3778/j.issn.1002-8331.2307-0330
深度学习在糖尿病视网膜病变分类领域的研究进展
Research Progress on Deep Learning in Field of Diabetic Retinopathy Classification
摘要
Abstract
Diabetic retinopathy is one of the primary causes of visual impairment in diabetic patients,and early classifica-tion and diagnosis are of significant importance for disease management and control.Deep learning methods have the capability to automatically extract features of retinal lesions and perform classification,making them essential tools for diabetic retinopathy classification.This paper begins by introducing commonly used datasets and evaluation metrics for diabetic retinopathy,summarizing the applications of deep learning in binary classification of diabetic retinopathy.It then provides an overview of various classical deep learning models used for severity classification of diabetic retinopathy,focuses on the classification and diagnosis methods of convolutional neural networks,and makes a comprehensive comparative analysis of different approaches.Finally,the paper discusses the challenges in this field and provides an outlook on future directions for research and development.关键词
糖尿病视网膜病变/深度学习/二分类/严重程度分类/卷积神经网络(CNN)Key words
diabetic retinopathy/deep learning/binary classification/severity classification/convolutional neural network(CNN)分类
信息技术与安全科学引用本文复制引用
孙石磊,李明,刘静,马金刚,陈天真..深度学习在糖尿病视网膜病变分类领域的研究进展[J].计算机工程与应用,2024,60(8):16-30,15.基金项目
国家自然科学基金面上项目(82174528) （82174528）
山东省研究生教育优质课程和教学资源库建设项目(SDYKC20047,SDYAL2022041) （SDYKC20047,SDYAL2022041）
教育部产学合作协同育人项目(220606121142949). （220606121142949）
