DB-KAUNet: An Adaptive Dual Branch Kolmogorov-Arnold UNet for Retinal Vessel Segmentation
DB-KAUNet: 一种自适应双分支Kolmogorov-Arnold UNet用于视网膜血管分割
机构 * School of Computer Science and Software Engineering, Southwest University(西南大学计算机科学与软件工程学院) ; Innovation Centre of Ministry of Education for Development and Diseases, the Sixth Affiliated Hospital, School of Medicine, South China University of Technology(华南理工大学医学院附属第六医院) ; Centre for Innovation and Precision Eye Health, Yong Loo Lin School of Medicine, National University of Singapore(新加坡国立大学 Yong Loo Lin 医学院创新与精准眼科健康中心) ; Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore(新加坡国立大学 Yong Loo Lin 医学院眼科部) ; College of Medicine and Biological Information Engineering, Northeastern University(东北大学医学院与生物信息工程学院) ; School of Electrical Engineering Automation, Jiangxi University of Science and Technology(江西理工大学电气工程自动化学院) ; School of Future Technology, South China University of Technology(华南理工大学未来技术学院)
AI总结 DB-KAUNet通过自适应双分支结构结合CNN和Transformer,提升视网膜血管分割的准确性和鲁棒性。