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US 2025/0062000 A1Published application
Image-guided therapy system
AssigneeKoninklijke Philips N.V.
InventorsCHRISTIAN HAASE, RAOUL FLORENT
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Abstract
The invention is directed towards an improved image-guided therapy system.
Claims20
A computer-implemented method of training a machine learning algorithm for assisting image-guided therapy procedures, the method comprising:
- obtaining training data including a set of image-guided therapy images;
- storing for each image respective gaze areas thereof together with actions of the image-guided therapy procedures enacted by a clinician in response to viewing the respective gaze areas;
- and
- training the machine learning algorithm using the training data comprising determining relationships between the image-guided therapy images, the respective gaze areas thereof, and the respective actions associated therewith for the respective image-guided therapy procedures.
1 more element
An image-guided therapy system for training a machine learning algorithm for assisting image-guided therapy procedures, the system comprising:
- a processor and a memory, the processor configured to:
- obtain training data including a set of image-guided therapy images;
- store for each image respective gaze areas thereof together with actions of the image-guided therapy procedures enacted by a clinician in response to viewing the respective gaze areas;
- and
- train the machine learning algorithm using the training data comprising determining relationships between the image-guided therapy images, the respective gaze areas thereof, and the respective actions associated therewith for the respective image-guided therapy procedures.
2 more elements
A non-transitory computer-readable storage medium comprising instructions which, when executed by a processor, causes the processor to:
- obtain training data including a set of image-guided therapy images;
- store for each image respective gaze areas thereof together with actions of the image-guided therapy procedures enacted by a clinician in response to viewing the respective gaze areas;
- and
- train the machine learning algorithm using the training data comprising determining relationships between the image-guided therapy images, the respective gaze areas thereof, and the respective actions associated therewith for the respective image-guided therapy procedures.
1 more element
Dependencies are inferred from the claim text.