Suchergebnis | Hamburg Open Science

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Deep Learning-Based Bias Transfer for Overcoming Laboratory Differences of Microscopic Images

Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network