Cancer diagnostics is facing immense challenges. Against the backdrop of the sharp rise in the number of cancer cases worldwide, pathology must produce more and more diagnoses while capacities remain the same or even decrease. The digitalisation of cancer diagnostics plays a decisive role in this issue. The enormous importance of machine learning and deep learning for the digitisation of pathology and thus the improvement of cancer diagnostics is described
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