METHOD AND DEVICE FOR TRAINING A CLASSIFIER FOR MOLECULAR BIOLOGICAL EXAMINATIONS

A computer-implemented method for training a classifier. The method includes: ascertaining a first input signal characterizing a plurality of evaluation points of a molecular biological examination system, and a desired output signal characterizing a classification of the evaluation points is allocated to the first input signal; subdividing the first input signal into a plurality of second input signals according to an arrangement of the evaluation points; ascertaining a plurality of first representations, a first representation being ascertained for each second input signal of a first subset of the plurality of second input signals using the classifier; ascertaining an output signal using the classifier and based on the plurality of first representations, the output signal characterizing a classification of the first input signal; adapting at least one parameter of the classifier according to a loss value which characterizes a difference between the ascertained output signal and the desired output signal.