摘要
人工智能技术的快速发展推动了医学的智能化进程。近年来,随着机器学习和深度学习等技术的不断提高,人工智能技术在眼底疾病诊疗中得到了快速发展和应用。眼底疾病主要包括视网膜血管病、黄斑疾病、视网膜脱离、视网膜色素变性等,早期诊断及治疗对改善眼底疾病的预后具有重大意义。本文就人工智能在视网膜图像自动分割和疾病诊断中的应用形成指南,为人工智能在该领域中的进一步研究和应用提供参考。
The rapid development of artificial intelligence(AI)technology has driven the intelligentization of medicine.In recent years,due to the continuous improvement of machine learning and deep learning technologies,AI technology has made rapid progress in the diagnosis and treatment of ocular fundus diseases,including retinal vascular disease,macular disease,retinal detachment,and retinal pigment degeneration.Early diagnosis and treatment are of great significance for the prognosis of ocular fundus diseases.This article gives a guide for the application of AI in automatic segmentation of retinal images and disease diagnosis,providing a reference for further research and application of AI in this field.
出处
《眼科新进展》
CAS
北大核心
2024年第8期592-601,共10页
Recent Advances in Ophthalmology
基金
国家自然科学基金(编号:82160195)
江西省双千计划科技创新高端领军人才项目(编号:jxsq2023201036)
江西省重大(重点)研发专项计划(编号:20223BBH80014)。
关键词
人工智能
图像分析
自动分割
视网膜病诊断
artificial intelligence
image analysis
automatic segmentation
diagnosis of retinopathy
