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US Patent 11526694 Model training using fully and partially-annotated images

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Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11526694
Date of Patent
December 13, 2022
Patent Application Number
16836106
Date Filed
March 31, 2020
Patent Citations
‌
US Patent 11030747 System and method for automatic thoracic organ segmentation from CT using a deep learning framework
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US Patent 10430949 Automatic method and system for vessel refine segmentation in biomedical images using tree structure based deep learning model
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US Patent 10275690 Machine learning predictive labeling system
Patent Primary Examiner
‌
Dhaval V Patel
CPC Code
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G06K 9/6232
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G06K 9/6256
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G06N 3/0472
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G06N 3/08
‌
G06V 2201/031
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G06K 9/6259

Methods and systems for training a model labeling two or more organic structures within an image. One method includes receiving a set of training images. The set of training images including a first plurality of images and a second plurality of images. Each of the first plurality of images including a label for each of the two or more organic structures and each of the second plurality of images including a label for only a subset of the two or more organic structures. The method further includes training the model using the first plurality of images, the second plurality of images, and a label merging function mapping a label from the first plurality of images to a label included in the second plurality of images.

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