Multi-class skin lesion classification using prism- and segmentation-based fractal signatures

作者：

Highlights：

• Fractal descriptors are able to increase classifier performance.

• Fractal analysis has the potential to characterize skin lesions.

• Neural networks can be used like classifiers.

摘要

•Fractal descriptors are able to increase classifier performance.•Fractal analysis has the potential to characterize skin lesions.•Neural networks can be used like classifiers.

论文关键词：Skin lesions,Computer-aided diagnosis,Multi-class classification,Fractal signatures,Dermoscopic images,Automation classification

论文评审过程：Received 29 April 2021, Revised 13 November 2021, Accepted 8 February 2022, Available online 23 February 2022, Version of Record 4 March 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116671