A review on image-based approaches for breast cancer detection, segmentation, and classification
作者：
Highlights：
• The scope of this research limited to papers between 2016 and 2020 years.
• Breast imaging, segmentation, feature extraction, and tumor classification are investigated.
• A summary of each category is presented at the end of each subsection.
• The main issues and gaps in the existing approaches are discussed.
• Available software and datasets are introduced.
摘要
•The scope of this research limited to papers between 2016 and 2020 years.•Breast imaging, segmentation, feature extraction, and tumor classification are investigated.•A summary of each category is presented at the end of each subsection.•The main issues and gaps in the existing approaches are discussed.•Available software and datasets are introduced.
论文关键词：Breast cancer,Segmentation,Breast imaging,Malignant,Benign
论文评审过程：Received 2 April 2020, Revised 22 April 2021, Accepted 12 May 2021, Available online 19 May 2021, Version of Record 21 May 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115204
