Segmenting medical images
AssigneeSegAI LLC
InventorWilliam Stewart Burton, II
Life of this patent
Estimating the term…
Abstract
In a general aspect, medical images are segmented by a medical image segmentation system. In some aspects, a medical image segmentation method includes obtaining a medical image comprising a series of images; obtaining a surrogate context based on a support set of images; identifying a query set of images; providing the surrogate context, the support set of images and the query set of images as inputs to a machine learning process; and segmenting the query set by operation of the machine learning process executed on a computer system, wherein executing the machine learning process produces segmentation information of the query set. The support set of images includes a first subset of the series of images and the query set of images includes a second subset of the series of images.
Claims30
A medical image segmentation method comprising:
- obtaining a medical image comprising a series of images;
- obtaining a surrogate context based on a support set of images, the support set of images comprising a first subset of the series of images;
- identifying a query set of images, the query set of images comprising a second subset of the series of images;
- providing the surrogate context, the support set and the query set as inputs to a machine learning process;
- and
- segmenting the query set by operation of the machine learning process executed on a computer system, wherein executing the machine learning process produces segmentation information of the query set.
A system comprising:
- a medical imaging system configured to generate a medical image comprising a series of images;
- and
- a computer system comprising:
- one or more processors;
- and
- memory storing instructions that, when executed, cause the one or more processors to perform operations comprising:
- obtaining the medical image from the medical imaging system;
- obtaining a surrogate context based on a support set of images, the support set of images comprising a first subset of the series of images;
- identifying a query set of images, the query set of images comprising a second subset of the series of images;
- providing the surrogate context, the support set and the query set as inputs to a machine learning process;
- and
- segmenting the query set by operation of the machine learning process, wherein executing the machine learning process produces segmentation information of the query set.
A non-transitory computer-readable medium storing instructions that are operable when executed by data processing apparatus to perform operations comprising:
- obtaining a medical image comprising a series of images;
- obtaining a surrogate context based on a support set of images, the support set of images comprising a first subset of the series of images;
- identifying a query set of images, the query set of images comprising a second subset of the series of images;
- providing the surrogate context, the support set and the query set as inputs to a machine learning process;
- and
- segmenting the query set by operation of the machine learning process, wherein executing the machine learning process produces segmentation information of the query set.
Dependencies are inferred from the claim text.