福建电脑2024，Vol.40Issue(7)：29-32,4.DOI:10.16707/j.cnki.fjpc.2024.07.005
计算机视觉辅助青光眼诊断算法研究
Research on Computer Vision-assisted Glaucoma Diagnosis Algorithm
摘要
Abstract
Glaucoma is a type of optic nerve injury disease,and the screening of glaucoma requires high diagnostic skills from ophthalmologists.To help doctors better observe the pathological characteristics of glaucoma and improve their subjective diagnostic efficiency and accuracy,this paper applies computer vision assisted diagnostic algorithms to enhance retinal images and constructs a classification recognition model for images using neural networks.The experimental results show that the accuracy of the constructed neural network in retinal image classification is 92.05%.关键词
计算机视觉/青光眼/辅助诊断/深度学习Key words
Computer Vision/Glaucoma/Assisted Diagnosis/Deep Learning分类
计算机与自动化引用本文复制引用
张蓝天,管军霖..计算机视觉辅助青光眼诊断算法研究[J].福建电脑,2024,40(7):29-32,4.基金项目
本文得到国家级大学生创新创业训练计划项目(No.202310595011)、广西可信重点实验室项目(No.kx202208)、广西高校中青年教师科研基础能力提升(No.2023KY0213)资助. （No.202310595011）
