DRDA-Net: Dense residual dual-shuffle attention network for breast cancer classification using histopathological images

标题
DRDA-Net: Dense residual dual-shuffle attention network for breast cancer classification using histopathological images
作者
关键词
Breast cancer, DRDA-Net, Deep learning, Attention mechanism, Histopathology images, BreaKHis dataset
出版物
COMPUTERS IN BIOLOGY AND MEDICINE
Volume 145, Issue -, Pages 105437
出版商
Elsevier BV
发表日期
2022-03-22
DOI
10.1016/j.compbiomed.2022.105437

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