Identifying suspicious areas in ophthalmic data

US10719932B2 · kind B2 · utility

Assignee

• Carl Zeiss Meditec AG · DE

Inventors

• Nathan Shemonski · San Francisco, US
• Mary K. Durbin · San Jose, US

Key dates

• Filing date: Mar 1, 2018
• Grant date: Jul 21, 2020
• Expiry date: Jun 5, 2038

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/30041
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

An ophthalmic image diagnostic tool and method submits a test image to a neural network trained to identify abnormal regions of an ophthalmic image, to distinguish between multiple types of abnormalities, and to associate an abnormality type with each identified potentially abnormal region. Each potentially abnormal region in the test image is highlighted, and in response to a user-selection of a highlighted region, a previously diagnosed sample (e.g., from a library of samples) of the abnormality type associated with the selected highlighted region is displayed.