Intelligent skin cancer detection using enhanced particle swarm optimization
作者：
Highlights：
• We conduct intelligent skin cancer diagnosis using dermoscopic images.
• An enhanced PSO algorithm is proposed for feature selection.
• It integrates subswarms, mutation mechanisms and dynamic matrix representations.
• It follows leaders and avoids enemies in every or randomly selected sub-dimensions.
• It outperforms other optimization methods and related research significantly.
摘要
•We conduct intelligent skin cancer diagnosis using dermoscopic images.•An enhanced PSO algorithm is proposed for feature selection.•It integrates subswarms, mutation mechanisms and dynamic matrix representations.•It follows leaders and avoids enemies in every or randomly selected sub-dimensions.•It outperforms other optimization methods and related research significantly.
论文关键词：Skin cancer detection,Feature selection,Evolutionary algorithm,Dermoscopic images
论文评审过程：Received 25 October 2017, Revised 13 May 2018, Accepted 29 May 2018, Available online 19 June 2018, Version of Record 6 July 2018.
论文官网地址：https://doi.org/10.1016/j.knosys.2018.05.042
