Fuzzy ensemble of deep learning models using choquet fuzzy integral, coalition game and information theory for breast cancer histology classification
作者：
Highlights：
• A fuzzy ensemble of deep learning models for breast cancer histology images.
• Bottleneck feature representation and extraction using DCNN-models.
• These feature maps are combined and are classified using MLP.
• Novel ensemble method using Choquet Integral is proposed.
• Fuzzy measures are calculated using Coalition Game and Information Theory.
摘要
•A fuzzy ensemble of deep learning models for breast cancer histology images.•Bottleneck feature representation and extraction using DCNN-models.•These feature maps are combined and are classified using MLP.•Novel ensemble method using Choquet Integral is proposed.•Fuzzy measures are calculated using Coalition Game and Information Theory.
论文关键词：Breast cancer (BACH dataset),Computer vision,Deep learning,Fuzzy ensemble,Choquet integral,Coalition game,Information theory
论文评审过程：Received 9 January 2021, Revised 19 September 2021, Accepted 27 October 2021, Available online 11 November 2021, Version of Record 17 November 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.116167
