Computer-implemented method for parametrizing a function for evaluating a medical image dataset

A computer-implemented method for evaluating medical image data, comprising:

• receiving a medical image dataset concerning a region of interest as input data;
• applying a function trained by a machine learning algorithm to the medical image dataset to determine at least one output parameter, the function including a processing algorithm at least one of determined and parametrized by machine learning and a representation generator, the representation generator generating at least one representation of a region of interest based on the medical image dataset and a respective representation parametrization determined by machine learning, and the processing algorithm determining the at least one output parameter based on the at least one representation;
• and
• providing the at least one output parameter as output data.

A providing system, comprising:

• a first interface, configured to receive input data;
• a second interface, configured to provide output data;
• and
• at least one processor, configured to at least one of
• receive a training dataset including multiple training medical image datasets,
• receive representation information,
• determine, using an optimization algorithm, the processing algorithm and the at least one representation parametrization, the optimization algorithm optimizing a measure for performance of the processing algorithm when the processing algorithm is operating on a set of training representations generated by applying the representation generator to at least a subset of the training medical image datasets using the at least one representation parametrization by varying on the one hand the content of the at least one representation parametrization based on at least one of the representation information and a number of used representation parametrizations, the processing algorithm being within a search space and the algorithm parameters, and
• provide the at least one representation parametrization determined and providing the processing algorithm determined or processing parameters describing the processing algorithm determined, to parametrize the function;
• and
• receive a medical image dataset concerning a region of interest as input data,
• apply a function trained by a machine learning algorithm to the medical image dataset to determine at least one output parameter, the function including a processing algorithm at least one of determined and parametrized by machine learning and a representation generator, the representation generator generating at least one representation of a region of interest based on the medical image dataset and a respective representation parametrization determined by machine learning, and the processing algorithm determining the at least one output parameter based on the at least one representation, and
• providing the at least one output parameter as output data.