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AssigneePaige.AI, Inc.
InventorsRodrigo Ceballos Lentini, Christopher Kanan
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Systems and methods are disclosed for generating synthetic medical images, including images presenting rare conditions or morphologies for which sufficient data may be unavailable. In one aspect, style transfer methods may be used. For example, a target medical image, a segmentation mask identifying style(s) to be transferred to area(s) of the target, and source medical image(s) including the style(s) may be received. Using the mask, the target may be divided into tile(s) corresponding to the area(s) and input to a trained machine learning system. For each tile, gradients associated with a content and style of the tile may be output by the system. Pixel(s) of at least one tile of the target may be altered based on the gradients to maintain content of the target while transferring the style(s) of the source(s) to the target. The synthetic medical image may be generated from the target based on the altering.
A method for processing electronic images to generate synthetic images, the method comprising:
A system for processing electronic images to generate synthetic images, the system comprising:
A method for training one or more machine learning systems to generate synthetic medical images, the method comprising:
Dependencies are inferred from the claim text.