CPC G16H 30/40 (2018.01) [G06N 3/045 (2023.01); G06N 3/088 (2013.01); G06T 7/10 (2017.01); G06T 2207/10081 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30101 (2013.01)] | 20 Claims |
1. A system, comprising:
a processor that executes computer-executable components stored in a computer-readable memory, the computer-executable components comprising:
a receiver component that accesses a computed tomography (CT) image depicting an anatomical structure;
a probability component that generates, 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 a class probability mask of respective anatomical classes associated with the at least one class probability mask; and
an execution component that generates, 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.
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