AI-based processing of bone-marrow smears to support leukaemia diagnosis. (IMAGE)
Caption
Using so-called unsupervised learning methods, single-cell images (centre) are extracted from extremely high-resolution image data (left). Then, using neural networks, these cell images are examined to check for any visual anomalies which might have a genetic origin. Areas which are important for the decision of the neural network are highlighted in colour by using so-called “explainable AI” strategies (right).
Credit
AG Risse
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