Automated screening tool for dry and wet age-related macular degeneration (ARMD) using pyramid of histogram of oriented gradients (PHOG) and nonlinear features

U. Rajendra Acharya,Yuki Hagiwara,Joel E.W. Koh,Jen Hong Tan,Sulatha V. Bhandary,A. Krishna Rao,U. Raghavendra

Journal of Computational Science（2017）

引用 27|浏览10

暂无评分

摘要

•Classification of normal, dry and wet ARMD classes using fundus images.•PHOG technique is employed.•ADASYN is performed to balance dataset.•PSO and ACO-GA feature selection method is used.•Classification accuracy of 83.3%.

查看译文

关键词

Age-related macular degeneration,Ant colony optimization genetic algorithm,Fundus image,Particle swarm optimization,Pyramid of histograms of oriented gradients,Support vector machine

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要