most citedImproving Interpretability in Medical Imaging Diagnosis using Adversarial Training

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2020★ 5 cited

Improving Interpretability in Medical Imaging Diagnosis using Adversarial Training

Andrei Margeloiu, Nikola Simidjievski, Mateja Jamnik +1

We investigate the influence of adversarial training on the interpretability of convolutional neural networks (CNNs), specifically applied to diagnosing skin cancer. We show that g…