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The overall analysis workflow: Training data generation, model training, inference (prediction), and computing threshold values. Training data is generated via a combination of manual annotations and model-generated predictions. A trained model generates predictions in the form of the probability that a patch is TIL-positive. The probability values are mapped to binary classifications by applying an automatically computed threshold.
