Patent ID: 11918398
Assignee: SIEMENS HEALTHINEERS AG
Field: Medical technology (Instruments)
Classification: CPC A  G | IPC A  G

Claim 20:
21. A non-transitory machine readable medium, storing an executable instruction, when executed, causes a processor to:
divide a first radiology data set into a first subset and a second subset;
divide at least one second radiology data set into a first subset and a second subset; and
analyze, via a neural network, the first subset of the first radiology data set and the first subset of the at least one second radiology data set, the first radiology data set being based on X-ray data of a first X-ray energy spectrum and the at least one second radiology data set being at least based on X-ray data of a second X-ray energy spectrum, the neural network including
an input layer with a plurality of cells, wherein in a first analyzing step the first subset of the first radiology data set is assigned to a first set of cells and the first subset of the at least one second radiology data set is assigned to a second set of cells for joint processing of the first subset of the first radiology data set and the first subset of the at least one second radiology data set, the first set of cells being different than the second set of cells, and in a second analyzing step the second subset of the first radiology data set is assigned to the first set of cells of the input layer and the second subset of the at least one second radiology data set being assigned to the second set of cells of the input layer, for joint processing of the second subset of the first radiology data set and the second subset of the at least one second radiology data set in the neural network, the first set of cells being different than the second set of cells, and wherein a number of the plurality of cells of the input layer are each assigned only one pixel value or only one raw data value of the first radiology data set or the at least one second radiology data set,
a number of intermediate layers, and
an output layer representing radiological result data, wherein the neural network is configured to generate and make available the radiological result data on the output layer.