Method and system for automatic multiple lesion annotation of medical images
AssigneeCaide Systems, Inc.
InventorsManohar Karki, Jung Hwan Cho, Kye Wook Lee
Life of this patent
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Abstract
A method includes receiving, from a patient, an image having a visible lesion, modifying the image to appear as if the lesion were not present, thereby forming a second image, generating a delineation of the abnormality using a difference between the first and second images, and tagging the segmented lesions.
Claims19
A method comprising annotating medical images in a database of medical images, said database including first and second sets of images, said first set consisting of images that are known to have lesions, and said second set consisting of images that are known to be free of lesions, wherein annotating said medical images comprises:
- using at least images that are stored in said database to determine values of first parameters and values of second parameters, said first parameters being for configuring a first image analysis component and said second parameters being for configuring a second image analysis component,
- wherein said first image analysis component is configured to produce an output based on an input image from said first set, said output including a synthetic normal image and lesion data, said synthetic normal image having been formed by modifying said input image to reduce an amount of data indicative of a lesion in said input image, said lesion data characterizing said lesion,
- wherein said second image analysis component is configured to discriminate between images from said second set and said synthetic normal image, and
- wherein determining values of said parameters results in parameters that hinder said second image analysis component in said discrimination and that also promote an ability to reconstruct said input image from said output of said first image analysis component, and
- processing each image of said first set using said first image analysis component to generate annotated images according to said lesion data output by said first image analysis component with said first image as input, said first image analysis component having been configured with said values of said first parameters.
Dependencies are inferred from the claim text.