HYBRID UNSUPERVISED AND SUPERVISED IMAGE SEGMENTATION MODEL
Systems and techniques that facilitate hybrid unsupervised and supervised image segmentation are provided. In various embodiments, a system can access a computed tomography (CT) image depicting an anatomical structure. In various aspects, the system can generate, via an unsupervised modeling techniq...
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Main Authors | , , , , |
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Format | Patent |
Language | English |
Published |
08.12.2022
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Subjects | |
Online Access | Get full text |
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Summary: | Systems and techniques that facilitate hybrid unsupervised and supervised image segmentation are provided. In various embodiments, a system can access a computed tomography (CT) image depicting an anatomical structure. In various aspects, the system can generate, via an unsupervised modeling technique, at least one class probability mask of the anatomical structure based on the CT image. In various instances, the system can generate, via a deep-learning model, an image segmentation based on the CT image and based on the at least one class probability mask. |
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Bibliography: | Application Number: US202117342280 |