Systems and methods for medical image analysis and classification
AssigneeRemedy Logic Inc.
InventorsEvelina Gudauskayte, Vladislav Tumko, Andrej Rusakov
Life of this patent
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Abstract
Systems and methods for performing image classification are disclosed. The methods include receiving a plurality of magnetic resonance imaging (MM) images that each include metadata. The plurality of images are sorted into one or more groups using the metadata. The methods further include, for each of the one or more groups: identifying a subset of images, generating for a classification label for each image in the subset of images using a classifier, identifying a first classification label that is associated with a maximum number of images in the subset of images, and assigning the first classification label to each image in that group.
Claims20
A method of performing image classification, the method comprising, by a processor:
- receiving a plurality of magnetic resonance imaging (MRI) images, each of the plurality of images comprising metadata;
- sorting, using the metadata, the plurality of images into one or more groups;
- and
- for each of the one or more groups:
- identifying a subset of images;
- generating, using a classifier, for each image in the subset of images, a classification label;
- identifying a first classification label, the first classification label being associated with a maximum number of images in the subset of images;
- and
- assigning the first classification label to each image in that group.
A system for performing image classification, the system comprising:
- a processor;
- and
- a non-transitory computer readable medium comprising programming instructions that when executed by the processor will cause the processor to:
- receive a plurality of magnetic resonance imaging (MM) images, each of the plurality of images comprising metadata;
- sort, using the metadata, the plurality of images into one or more groups;
- and
- for each of the one or more groups:
- identify a subset of images,
- generate, using a classifier, for each image in the subset of images, a classification label,
- identify a first classification label, the first classification label being associated with a maximum number of images in the subset of images;
- and
- assign the first classification label to each image in that group.
Dependencies are inferred from the claim text.