Reliable and accurate psoriasis disease classification in dermatology images using comprehensive feature space in machine learning paradigm

作者：

Highlights：

• CADx system to classify psoriatic lesion and healthy skin in dermatology images.

• Integration of grayscale, color, redness and chaotic feature space.

• Accurate system design with classification accuracy of 99.81%.

• Reliable system design.

摘要

•CADx system to classify psoriatic lesion and healthy skin in dermatology images.•Integration of grayscale, color, redness and chaotic feature space.•Accurate system design with classification accuracy of 99.81%.•Reliable system design.

论文关键词：Dermatology,Psoriasis,Classification,Reliability,Accuracy,Feature selection

论文评审过程：Available online 31 March 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.03.014