Abstract: The present invention relates to a computer-implemented training method for training an artificial intelligence, in particular an artificial neural network, which is configured to be used to determine an image of an object from real, in particular microwave tomographic, measurement data, having the steps of: generating a physical model, wherein the physical model is generated at least partially using measurement data generated by an imaging modality and/or existing measurement data; generating virtual and/or real, in particular microwave tomographic, measurement data using the physical model; generating ground truth data, wherein the ground truth data is generated at least partially using the measurement data generated by an imaging modality and/or the existing measurement data; training the artificial intelligence with the ground truth data and the virtual and/or real, in particular microwave tomographic, measurement data.

Abstract: The invention relates to a system for ascertaining a feature of an object. The system comprises a primary module, an assisting module, and a controller, wherein the primary and the assisting module are designed to carry out a respective detection of the feature, generate measurement data with respect to the feature, communicate with the controller which is designed for this purpose, be actuated by the controller which is designed for this purpose, and transmit the measurement data to the controller which is designed for this purpose. The controller has means which are designed to actuate the primary module such that the measurement data generated by the assisting module is taken into consideration, and the controller has means which are designed to ascertain the feature of the object from the totality or from a part of the totality of the generated measurement data.