Gamma function based ensemble of CNN models for breast cancer detection in histopathology images

作者：

Highlights：

• A rank based ensemble of deep learning models is designed to detect breast cancer.

• GoogleNet, VGG11, and MobileNetV3_Small are used as base learners.

• Decision scores of CNN models are fused using the Gamma function.

• The proposed method is tested on two histopathology datasets: BreakHis & ICIAR-2018.

摘要

•A rank based ensemble of deep learning models is designed to detect breast cancer.•GoogleNet, VGG11, and MobileNetV3_Small are used as base learners.•Decision scores of CNN models are fused using the Gamma function.•The proposed method is tested on two histopathology datasets: BreakHis & ICIAR-2018.

论文关键词：Breast cancer,Histopathology image,Deep learning,Medical image analysis,Ensemble method,Gamma function

论文评审过程：Received 24 May 2022, Revised 15 September 2022, Accepted 9 October 2022, Available online 14 October 2022, Version of Record 21 October 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.119022