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Object classifiers were trained on annotated training regions from control tissue and tumor samples to define cellular phenotypes. Tumor cells were defined by pan-CK expression and subcellular characteristics. Once the algorithm was performing at a satisfactory level, it was used for batch analysis. ...
The k parameter sets the number of training and validation iterations that will be used to develop the model. Once the value of k is set, the training and validation process starts. During the k iterations these steps are repeated: One of the k partitions is taken and separated from the ...