Variable Compression, De-Resolution, and Restoration of Medical Images Using GAN-Based AI
Summary
The USPTO published patent application US20260099920A1 filed by inventor Sean M. Kelly on September 25, 2023. The application covers an AI image processing platform that uses GAN models to compress, down-resolve, up-resolve, and restore medical images based on diagnostic and therapeutic relevance. The platform classifies image regions by cellular morphologies and diagnostic relevance and conveys processed images to client devices via communication networks. CPC classifications include G06T 7/0012, G06N 3/0475, and multiple G16H healthcare informatics categories.
What changed
The USPTO published a patent application for an AI-based medical image processing system that applies variable compression and resolution adjustment to medical images. The system uses generative adversarial network models to reconstruct images while preserving features corresponding to specimens, and classifies image regions based on cellular morphologies and diagnostic relevance.\n\nEntities developing AI-based medical imaging systems should monitor this patent filing for potential licensing considerations or to assess whether their own technologies may overlap with the claimed methods for image compression, de-resolution, and restoration based on diagnostic relevance.
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Apr 18, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
VARIABLE COMPRESSION, DE-RESOLUTION, AND RESTORATION OF A MEDICAL IMAGE BASED UPON DIAGNOSTIC AND THERAPEUTIC RELEVANCE
Application US20260099920A1 Kind: A1 Apr 09, 2026
Inventors
Sean M. KELLY
Abstract
An image processing platform obtains an input image of a specimen and globally down-resolves the input image into a down-resolved image. Subsequent to globally down-resolving the input image, the image processing platform concurrently globally up-resolves the down-resolved image into an up-resolved image using a generative adversarial network (GAN) model configured to reconstruct images including features corresponding to the specimen, and classifies a plurality of regions of the down-resolved image based on cellular morphologies and/or diagnostic relevance. The image processing platform conveys the up-resolved image to a communication network for delivery to a client device.
CPC Classifications
G06T 7/0012 G06N 3/0475 G06T 15/005 G16H 20/30 G16H 30/40 G16H 50/20 G16H 70/60 G06T 2207/30024
Filing Date
2023-09-25
Application No.
19114391
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