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05/04/2022
Rethinking Classifier and Adversarial Attack
Various defense models have been proposed to resist adversarial attack a...
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05/04/2022
CE-based white-box adversarial attacks will not work using super-fitting
Deep neural networks are widely used in various fields because of their ...
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10/06/2020
Weakly-Supervised Feature Learning via Text and Image Matching
When training deep neural networks for medical image classification, obt...
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09/09/2020
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification
Recent works have shown that deep neural networks can achieve super-huma...
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03/02/2020
Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization
Generalization is one of the key challenges in the clinical validation a...
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02/27/2020
Joint 2D-3D Breast Cancer Classification
Breast cancer is the malignant tumor that causes the highest number of c...
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02/27/2020
2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification
Automated methods for breast cancer detection have focused on 2D mammogr...
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02/01/2020
