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US Patent 11449716 Model training using partially-annotated images

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Patent
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Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
114497160
Date of Patent
September 20, 2022
0
Patent Application Number
168361150
Date Filed
March 31, 2020
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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
0
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US Patent 10275690 Machine learning predictive labeling system
Patent Primary Examiner
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Vikkram Bali
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Methods and systems for training a model labeling two or more organic structures in an image. One method includes receiving a 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 a first subset of the two or more organic structures and each of the second plurality of images including a label for a second subset of the two or more organic structures, the second subset being different than the first subset. The method also includes training the model using the first plurality of images, the second plurality of images, and a label merging function mapping a label included in the first plurality of images to a label included in the second plurality of images.

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