5 citations · 9 across the 5 of their papers we have counts for
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cs.CV2021
Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network
Esther Dietrich, Patrick Fuhlert, Anne Ernst +5
Clinical decision support for histopathology image data mainly focuses on strongly supervised annotations, which offers intuitive interpretability, but is bound by expert performan…
eess.IV2021★ 1 cited
Deep learning-based bias transfer for overcoming laboratory differences of microscopic images
Ann-Katrin Thebille, Esther Dietrich, Martin Klaus +9
The automated analysis of medical images is currently limited by technical and biological noise and bias. The same source tissue can be represented by vastly different images if th…