Abstract: A computer-implemented method for generating a synthetic training data set for training a machine learning computer vision model for performing at least one user defined computer vision task, in which spatially resolved sensor data are processed and evaluated with respect to at least one user defined object of interest, including receiving at least one model of a user defined object of interest; determining at least one render parameter and multiple render parameters; generating a set of training images by rendering the at least one model of the object of interest based on the at least one render parameter; generating annotation data for the set of training images with respect to the at least one object of interest; and providing a training data set including the set of training images and the annotation data for being output to the user and/or for training the computer vision model.

Abstract: The present invention relates generally to a sensor for tumor tissue and a local release system for releasing therapeutic agents/diagnostic agents for targeted tumor therapy and diagnosis. More specifically, the invention relates to a cation-stabilised biopolymer gel, in particular an alginate gel, for use as a carrier matrix for a tumor therapeutic agent and/or tumor diagnostic agent, characterised in that the gel destabilises in the presence of a stimulus, in particular lysyl oxidase (LOX), generated by tumor cells or tumor tissue and the tumor therapeutic agent and/or tumor diagnostic agent can be released, and a pharmaceutical composition that comprises this cation-stabilised biopolymer gel with incorporated tumor therapeutic agent and/or tumor diagnostic agent and optionally an additional reporter substance.

Abstract: The invention relates to a computer-supported diagnostic system in which the physical structure of the technical system to be diagnosed is implemented in the form of a structural model. If a fault code occurs in a component of the technical system which is capable of self-diagnostics, and thus also in the structural model, the fault location is searched for with a parameterizable path search by means of the path search algorithm as a function of the fault which has occurred in the structural model. The parameterization of the path search succeeds here by virtue of fault-specific heuristics. A heuristic in the sense of the invention is here a software module which can be selected as a function of a fault which has occurred, which module contains a fault-specific evaluation algorithm, which contains information about the set of candidates which are to be included in the troubleshooting, and which contains rule lists with fault record conditions which are used for a fault decision by the evaluation algorithm.