A novel intuitionistic fuzzy soft set entrenched mammogram segmentation under Multigranulation approximation for breast cancer detection in early stages

作者：

Highlights：

• Intuitionistic fuzzy soft rough set clustering is aimed for mammogram segmentation.

• Initial centroids and clustering numbers are chosen by histogram methods.

• The proposed IFSRCM clustering handles uncertain pixel precisely by hesitant score.

• Parameterization tool builds lower and upper approximations reducing the features.

• The rough set deals with boundary regions precisely for fast convergence.

摘要

•Intuitionistic fuzzy soft rough set clustering is aimed for mammogram segmentation.•Initial centroids and clustering numbers are chosen by histogram methods.•The proposed IFSRCM clustering handles uncertain pixel precisely by hesitant score.•Parameterization tool builds lower and upper approximations reducing the features.•The rough set deals with boundary regions precisely for fast convergence.

论文关键词：Mammograms,Image segmentation,Multigranulation,Fuzzy soft sets,Intuitionistic fuzzy set

论文评审过程：Received 13 August 2020, Revised 22 October 2020, Accepted 14 November 2020, Available online 20 November 2020, Version of Record 10 February 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114329