Patent ID: 11969239
Assignee: SIEMENS HEALTHINEERS AG
Field: Measurement (Instruments)
Classification: CPC A  G | IPC A  G

Claim 0:
1. A method for characterizing tumor tissue from multi-parametric imaging by a magnetic resonance (MR) scanner, the method comprising:
scanning a patient by the MR scanner, the scanning including structural, diffusion, and spectroscopy measurements of the patient;
classifying the tumor tissue of the patient between two or more classes of tumor type, the classifying by a machine-learned neural network in response to input of the structural, diffusion, and spectroscopy measurements;
generating a confidence map comprising confidence values for each voxel that indicate a consistency of the machine-learned neural network's classification predictions over different network configurations; and
displaying an image of the tumor tissue segmented based on the two or more classes and the confidence map.