Method and a system for creating a medical image database by means of a convolutional neural network

The invention relates to a method for creating a medical image database, a) wherein data records (1a, 1b, 1c) are created that comprise component images (3a, 3b, 3c) of two- or multidimensional initial images (4a, 4b, 4c) of parts of the human body, b) a projection to obtain feature vectors (6a, 6b, 6c) is created from the component images (3a, 3b, 3c), wherein to prepare for the execution of the projection a neural network is created on the basis of prescribed learning component images, the data records (1a, 1b, 1c) being used as part of a metric learning method to learn the projection and the creation of the feature vectors (6a, 6b, 6c) from learning component images. This is accomplished, by way of example, by prescribing learning component images that are slightly shifted, rotated, distorted or elongated in relation to one another and have been created from the same initial image (4a, 4b, 4c) as similar. c) The component images (3a, 3b, 3c) of the data records (1a, 1b, 1c) have the projection applied to them and a respective feature vector is obtained, d) wherein the feature vectors created in this manner are stored in an index data structure.