Patent ID: 11948677
Assignee: GE PRECISION HEALTHCARE LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. A computer program product for facilitating hybrid unsupervised and supervised image segmentation, the computer program product comprising a computer-readable memory having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:
access a computed tomography (CT) image depicting an anatomical structure;
generate, via an unsupervised modeling technique, at least one class probability mask of the anatomical structure based on the CT image, wherein each class probability mask of the at least one class probability mask comprises respective probability values for pixels of the CT image indicating respective probabilities of the pixels belonging to an anatomical class associated with the class probability mask of respective anatomical classes associated with the at least one class probability mask; and
generate, via a deep-learning model, an image segmentation of the CT image into the respective anatomical classes based on the CT image and the at least one class probability mask.