Patent ID: 11915464
Assignee: CONTEXTFLOW GMBH
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 9:
10. A system for creating a medical image database, comprising a training unit and an indexing unit downstream of the training unit,
wherein the training unit is designed,
under a specification of data records in the medical image database, which data records comprise a plurality of partial images of two-dimensional or higher-dimensional initial images of parts of the human body, wherein each of the partial images is a section or block within the initial image of the respective part of the human body,
to create a projection for obtaining feature vectors from the partial images, wherein:
the projection maps partial images from the plurality of partial images that are similar to one another to feature vectors with a short distance, and,

for preparation of the execution of the projection, to create a neural network, based on specified learning partial images from the plurality of partial images, wherein the data records or part of the data records are/is used by the neural network within the scope of a metric learning method to learn the projection and creation of the feature vectors from learning partial images from the specified learning partial images and a specified similarity, between the learning partial images, wherein the metric learning method is based on:
specification of n-tuples of the learning partial images that were created starting from the same sub-region of the initial image as similar, wherein at least one of the learning partial images is modified in relation to the sub-region of the initial image in such a way that the learning partial images have different noise and/or different image intensity and/or different contrast,, wherein the indexing unit is designed
to apply the projection, created by the training unit, to the partial images of the data records or to a number of further partial images of further data records, and accordingly to obtain at least one feature vector for each of the partial images or further partial images, and
to store the obtained at least one feature vectors in an index data structure of the medical image database.