四川大学电气工程学院
纸质出版:2025
移动端阅览
向凡, 王茜玉, 蒋舒颖, 等. 交互注意力融合的眼底图像分类方法[J]. 传感器与微系统, 2025,(3):93-97.
向凡, 王茜玉, 蒋舒颖, 等. 交互注意力融合的眼底图像分类方法[J]. 传感器与微系统, 2025,(3):93-97. DOI: 10.13873/J.1000-9787(2025)03-0093-05.
针对眼底图像分类任务中病灶区域比较分散、局部纹理细节相似度高的问题,提出一种融合Contextual Transformer(COT)与卷积神经网络(CNN)的并行网络。首先,为了充分发挥2个分支在提取全局与局部特征方面的优势,设计了一个新的交互融合模块,有效地建立两者特征信息之间的联系,同时学习不同尺度特征之间的依赖关系;其次,在Transformer中嵌入COT模块,探索相邻键对之间的远程相关性,更好地捕捉眼底图像病变的复杂分布情况;并在CNN分支引入非对称卷积模块,利用不同维度的卷积核细化局部纹理特征。在眼底图像ODIR公开数据集上,该模型获得93.4%的准确率,结果表明:该模型能有效融合全局和局部特征,在眼底图像分类方面具有较好的准确度。
胡银记,洛怡航,赵振宇,揭斐然,彭群聂.基于注意力与特征融合的双分支跟踪算法[J].传感器与微系统,2023(06).
蒋杰伟,郭刘飞,巩稼民,强薇,吴成超,李中文.基于注意力和分组卷积的眼底图像多病变自动诊断[J].传感器与微系统,2023(05).
孙福权,邹彭,崔志清,张琨.基于注意力机制的糖尿病视网膜病变分类算法[J].计算机科学,2022(S2).
袁媛,陈明惠,柯舒婷,王腾,何龙喜,吕林杰,孙好,刘健南.基于集成卷积神经网络和Vit的眼底图像分类研究[J].中国激光,2022(20).
孙刘成,黄润才.融合LSTM和注意力机制的新闻文本分类模型[J].传感器与微系统,2022(09).
李朝林,张荣芬,刘宇红.融入多尺度双线性注意力的轻量化眼底疾病多分类网络[J].计算机应用研究,2022(07).
任龙杰,孙颖,丁卫平,鞠恒荣,曹金鑫.基于单种群蛙跳优化CNN的眼底图像多病变检测[J].计算机科学与探索,2021(09).
Gu Zongyun,Li Yan,Wang Zijian,Kan Junling,Shu Jianhua,Wang Qing.Classification of Diabetic Retinopathy Severity in Fundus Images Using the Vision Transformer and Residual Attention[J].Computational Intelligence and Neuroscience,2023.
Wang Keya,Xu Chuanyun,Li Gang,Zhang Yang,Zheng Yu,Sun Chengjie.Combining convolutional neural networks and self-attention for fundus diseases identification.[J].Scientific reports,2023.
Rodriguez M A,AlMarzouqi H,Liatsis P.Multi-label Retinal Disease Classification Using Transformers.[J].IEEE journal of biomedical and health informatics,2022.
Li Yehao,Yao Ting,Pan Yingwei,Mei Tao.Contextual Transformer Networks for Visual Recognition.[J].IEEE transactions on pattern analysis and machine intelligence,2022.
Tsiknakis Nikos,Theodoropoulos Dimitris,Manikis Georgios,Ktistakis Emmanouil,Boutsora Ourania,Berto Alexa,Scarpa Fabio,Scarpa Alberto,Fotiadis Dimitrios I.,Marias Kostas.Deep learning for diabetic retinopathy detection and classification based on fundus images: A review[J].Computers in Biology and Medicine,2021.
K. Shankar,Abdul Rahaman Wahab Sait,Deepak Gupta,S.K. Lakshmanaprabu,Ashish Khanna,Hari Mohan Pandey.Automated detection and classification of fundus diabetic retinopathy images using synergic deep learning model[J].Pattern Recognition Letters,2020.
Aditya Raj,Anil Kumar Tiwari,Maria G. Martini.Fundus image quality assessment: survey, challenges, and future scope[J].IET Image Processing,2019.
Jost B. Jonas,Rupert R.A. Bourne,Richard A. White,Seth R. Flaxman,Jill Keeffe,Janet Leasher,Kovin Naidoo,Konrad Pesudovs,Holly Price,Tien Y. Wong,Serge Resnikoff,Hugh R. Taylor.Visual Impairment and Blindness Due to Macular Diseases Globally: A Systematic Review and Meta-Analysis[J].American Journal of Ophthalmology,2014.
Qureshi, R.J.,Kovacs, L.,Harangi, B.,Nagy, B.,Peto, T.,Hajdu, A..Combining algorithms for automatic detection of optic disc and macula in fundus images[J].Computer vision and image understanding: CVIU,2012.
Lawrence A. Yannuzzi,Michael D. Ober,Jason S. Slakter,Richard F. Spaide,Yale L. Fisher,Robert W. Flower,Richard Rosen.Ophthalmic fundus imaging: today and beyond[J].American Journal of Ophthalmology,2004.
0
浏览量
0
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621