Retinal Image Processing Method Using Multispectral Imaging for ML Training
Summary
USPTO published patent application US20260090719A1 for a computer-implemented method of processing retinal images using multispectral imaging and machine learning. The invention assesses image quality by determining artifact extent across different wavelengths and computing a quality index to determine suitability for training machine learning algorithms. Inventors include Claudia Chevrefils, Gabriel Dignard, Wei You, and Jean-Philippe Sylestre.
What changed
This patent application describes a computer-implemented method and system for processing retinal images. The method involves accessing multispectral images of a retina captured at distinct wavelengths, determining the extent of artifacts in images at each wavelength, computing a quality index based on artifact measurements, and determining whether the multispectral image is suitable for training a machine-learning algorithm.
Patent applications do not create compliance obligations. No deadlines, penalties, or required actions apply to this publication. Entities in the medical imaging or AI healthcare sectors may review the application for competitive intelligence or to assess potential licensing opportunities.
Archived snapshot
Apr 2, 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.
METHOD AND SYSTEM FOR PROCESSING RETINAL IMAGES
Application US20260090719A1 Kind: A1 Apr 02, 2026
Inventors
Claudia CHEVREFILS, Gabriel DIGNARD, Wei YOU, Jean-Philippe SYLVESTRE
Abstract
A computer-implemented method of processing retinal images comprises accessing a multispectral image of a retina, the multispectral image comprising a first image of the retina associated with a first wavelength and a second image of the retina associated with a second wavelength, the second wavelength being distinct from the first wavelength, determining a first extent of a first artefact associated with the first image, determining a second extent of the first artefact or of a second artefact associated with the second image, computing a quality index based on the first extent of the first artefact and the second extent of the first or second artefact; and determining, based on the quality index, whether the multispectral image is suitable for training a machine-learning algorithm (MLA).
CPC Classifications
A61B 3/152 A61B 3/0025 A61B 3/0033 A61B 3/0041 A61B 3/12
Filing Date
2025-09-30
Application No.
19344847
Related changes
Get daily alerts for USPTO Patent Applications - Diagnosis & Surgery (A61B)
Daily digest delivered to your inbox.
Free. Unsubscribe anytime.
Source
About this page
Every important government, regulator, and court update from around the world. One place. Real-time. Free. Our mission
Source document text, dates, docket IDs, and authority are extracted directly from USPTO.
The summary, classification, recommended actions, deadlines, and penalty information are AI-generated from the original text and may contain errors. Always verify against the source document.
Classification
Who this affects
Taxonomy
Browse Categories
Get alerts for this source
We'll email you when USPTO Patent Applications - Diagnosis & Surgery (A61B) publishes new changes.
Subscribed!
Optional. Filters your digest to exactly the updates that matter to you.