Multi-criterion decision making-based multi-channel hierarchical fusion of digital breast tomosynthesis and digital mammography for breast mass discrimination

作者：

Highlights：

• A decision making-based multi-channel fusion (MDMF) framework is proposed.

• Proposed framework is based on deep convolutional network and multilayer perception.

• Hierarchical fusion framework (HFMM) is designed to integrate multimodality DBT and FFDM images.

• The proposed methods will aid in computer aided breast cancer screening.

摘要

•A decision making-based multi-channel fusion (MDMF) framework is proposed.•Proposed framework is based on deep convolutional network and multilayer perception.•Hierarchical fusion framework (HFMM) is designed to integrate multimodality DBT and FFDM images.•The proposed methods will aid in computer aided breast cancer screening.

论文关键词：Digital breast tomosynthesis,Full-field digital mammography,Breast cancer classification,Multimodality information fusion

论文评审过程：Received 3 July 2020, Revised 30 June 2021, Accepted 11 July 2021, Available online 13 July 2021, Version of Record 19 July 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.107303