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[1]liyang,【SCI3区第一作者李阳】Research on lung nodule recognition algorithm based on deep feature fusion and MKL-SVM-IPSO.Scientific Reports,2022:2
[2]liyang,基于群体智能优化的MKL-SVM算法及肺结节识别.工程科学学报,,2021,43(9):2
[3]liyang,Research on Key Algorithms of the Lung CAD System Based on Cascade Feature and Hybrid Swarm Intelligence Optimization for MKL-SVM.Computational Intelligence and Neuroscience,2021:1
[4]liyang,基于数据增强及注意力机制的肺结节检测系统.北京邮电大学学报.,2022:2
[5]liyang,常佳乐,田颖.【SCI3区第一作者李阳】Improved Cost-Sensitive Multikernel Learning Support Vector Machine Algorithm Based On Particle Swarm Optimization In Pulmonary Nodule Recognition.Soft Computing,2022:1
[6]liyang,【EI博士】多核学习矩阵化最小二乘支持向量机算法及肺结节识别.吉林大学学报.工学版,2014:2
[7]liyang,[会]矩阵化最小二乘支持向量机应用于肺部结节检测.第十六届全国图象图形学学术会议暨第六届立体图象技术学术研讨会论文集,2013:3
[8]liyang,【会议EI博士】Mixed Kernel Function SVM for Pulmonary Nodule Recognition.Lecture Notes in Computer Science (LNCS),2013:1
[9]liyang,[博士EI]基于图像模式的肺结节识别.吉林大学学报.工学版,2013:2
[10]liyang,王珂,刘苗.（博会EI）Research on Four-point Bessel Interpolation Algorithm in MIMO-OFDM.2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010,2010:2
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