SuFMoFPA: A superpixel and meta-heuristic based fuzzy image segmentation approach to explicate COVID-19 radiological images
作者：
Highlights：
• This approach is useful to early screen the suspected COVID-19 infected patients.
• This approach uses the benefits of superpixels to process spatial information.
• There is no dependency on the choice of initial cluster centers.
• The proposed method outperforms some standard state-of-the-art approaches.
• The convergence of the SuFMoFPA approach is quite encouraging.
摘要
•This approach is useful to early screen the suspected COVID-19 infected patients.•This approach uses the benefits of superpixels to process spatial information.•There is no dependency on the choice of initial cluster centers.•The proposed method outperforms some standard state-of-the-art approaches.•The convergence of the SuFMoFPA approach is quite encouraging.
论文关键词：COVID-19,Biomedical image interpretation,Image segmentation,Type 2 fuzzy systems,Superpixel,SuFMoFPA
论文评审过程：Received 29 July 2020, Revised 5 October 2020, Accepted 19 October 2020, Available online 29 October 2020, Version of Record 10 February 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.114142
