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

Claim 10:
11. A method for creating a medical image database, comprising:
a) creating, in the medical image database, data records which 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;
b) creating, from the partial images, a projection for obtaining feature vectors, 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
in order to prepare the execution of the projection, a neural network based on specified learning partial images from the plurality of partial images is created, 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 or groups of 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 the learning partial images or the groups of learning partial images from the same initial image or from different initial images, which are considered to be similar due to external features, such as text-based, numerical or semantic information, stored with the corresponding initial images,

c) applying the projection to the partial images of the data records or to a number of further partial images of further data records, and accordingly obtain at least one feature vector for each of the partial images or further partial images, and
d) storing the obtained at least one feature vectors in an index data structure of the medical image database.