Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network

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摘要

AimIn a pilot study to improve detection of malignant lesions in breast mammograms, we aimed to develop a new method called BDR-CNN-GCN, combining two advanced neural networks: (i) graph convolutional network (GCN); and (ii) convolutional neural network (CNN).

论文关键词：Convolutional neural network,Graph convolutional network,Breast cancer classification,Mammogram,Artificial intelligence,Deep learning,Rank-based stochastic pooling,Data augmentation

论文评审过程：Received 31 July 2020, Revised 10 November 2020, Accepted 10 November 2020, Available online 2 December 2020, Version of Record 2 December 2020.

论文官网地址：https://doi.org/10.1016/j.ipm.2020.102439