Systems and methods for brain hemorrhage classification in medical images using an artificial intelligence network

US11373750B2 · kind B2 · utility

Assignee

• The General Hospital Corporation · US

Inventors

• Synho Do · Lexington, US
• Michael Lev · Newton, US
• Ramon Gilberto Gonzalez · Boston, US

Key dates

• Filing date: Sep 7, 2018
• Grant date: Jun 28, 2022
• Expiry date: Sep 7, 2038

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/30016
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

Systems and methods for rapid, accurate, fully-automated, brain hemorrhage deep learning (DL) based assessment tools are provided, to assist clinicians in the detection & characterization of hemorrhages or bleeds. Images may be acquired from a subject using an imaging source, and preprocessed to cleanup, reformat, and perform any needed interpolation prior to being analyzed by an artificial intelligence network, such as a convolutional neural network (CNN). The artificial intelligence network identifies and labels regions of interest in the image, such as identifying any hemorrhages or bleeds. An output for a user may also include a confidence value associated with the identification.