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Found 3 papers, 2 papers with code
Predicting Ki67, ER, PR, and HER2 Statuses from H&E-stained Breast Cancer Images
In a quest to answer this question, we built a large-scale dataset (185538 images) with reliable measurements for Ki67, ER, PR, and HER2 statuses.
GPEX, A Framework For Interpreting Artificial Neural Networks
Using our method we find out that on 5 datasets, only a subset of those theoretical assumptions are sufficient.
Adversarial Attacks on Neural Networks for Graph Data
Even more, our attacks are transferable: the learned attacks generalize to other state-of-the-art node classification models and unsupervised approaches, and likewise are successful even when only limited knowledge about the graph is given.
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