Search Results for author: Anton S. Becker

Found 3 papers, 3 papers with code

Adversarial Augmentation for Enhancing Classification of Mammography Images

1 code implementation20 Feb 2019 Lukas Jendele, Ondrej Skopek, Anton S. Becker, Ender Konukoglu

Supervised deep learning relies on the assumption that enough training data is available, which presents a problem for its application to several fields, like medical imaging.

Classification General Classification +2

Injecting and removing malignant features in mammography with CycleGAN: Investigation of an automated adversarial attack using neural networks

2 code implementations19 Nov 2018 Anton S. Becker, Lukas Jendele, Ondrej Skopek, Nicole Berger, Soleen Ghafoor, Magda Marcon, Ender Konukoglu

At the higher resolution, all radiologists showed significantly lower detection rate of cancer in the modified images (0. 77-0. 84 vs. 0. 59-0. 69, p=0. 008), however, they were now able to reliably detect modified images due to better visibility of artifacts (0. 92, 0. 92 and 0. 97).

Adversarial Attack

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