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eess.IV2022
MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer
Shoukun Sun, Min Xian, Aleksandar Vakanski +1
Robust self-training (RST) can augment the adversarial robustness of image classification models without significantly sacrificing models' generalizability. However, RST and other…
eess.IV2022
EMT-NET: Efficient multitask network for computer-aided diagnosis of breast cancer
Jiaqiao Shi, Aleksandar Vakanski, Min Xian +2
Deep learning-based computer-aided diagnosis has achieved unprecedented performance in breast cancer detection. However, most approaches are computationally intensive, which impede…