Breast-NET: a lightweight DCNN model for breast cancer detection and grading using histological samples

Experimental results show that the Breast-NET deep convolutional neural network model outperforms state-of-the-art approaches in terms of accuracy, space, and computational complexity for the BreakHis, IDC grading, and IDC datasets.