most citedBreast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network

80 citations · 80 across the 1 of their papers we have counts for

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eess.IV2021★ 80 cited

Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network

Daniel G. P. Petrini, Carlos Shimizu, Rosimeire A. Roela +3

Some recent studies have described deep convolutional neural networks to diagnose breast cancer in mammograms with similar or even superior performance to that of human experts. On…