计算机工程与应用2024，Vol.60Issue(14)：50-65,16.DOI:10.3778/j.issn.1002-8331.2311-0049
注意力机制在视网膜血管分割中的应用综述
Comprehensive Review on Application of Attention Mechanism in Retinal Vessel Segmentation
摘要
Abstract
Automatic segmentation of retinal vessels plays an important role in computer-aided diagnosis of ophthalmology and cardiovascular diseases.Attention mechanism can improve the efficiency and accuracy of image feature extraction in classical neural network models,so attention mechanism is widely used in retinal vessel segmentation models.This paper firstly reviews the commonly used datasets and evaluation metrics for retinal vessel segmentation,subsequently,attention mechanisms are categorized into two types:selective attention mechanisms and self-attention mechanisms,based on their working principles.Meanwhile,according to the data domain of computer vision tasks,attention methods are divided into three categories:channel attention,spatial attention,and mixed attention.Combined with the task of retinal vessel segmen-tation,the paper highlights the specific applications of representative attention models of these three types and conducts performance comparisons and evaluations of relevant models.Finally,the problems of attention mechanism and the devel-opment trend in the future are discussed.关键词
视网膜血管分割/神经网络/注意力机制/计算机视觉Key words
retinal vessel segmentation/neural network/attention mechanism/computer vision分类
信息技术与安全科学引用本文复制引用
裴峻鹏,汪有崧,李增辉,王伟..注意力机制在视网膜血管分割中的应用综述[J].计算机工程与应用,2024,60(14):50-65,16.基金项目
国家部委项目. （）
