Systems and methods for detecting an indication of a visual finding type in an anatomical image

US10949968B2 · kind B2 · utility

Assignee

• Zebra Medical Vision Ltd. · IL

Inventors

• Chen Brestel · Rehovot, IL
• Eli Goz · Herzliya, IL
• Jonathan Laserson · Tel Aviv-Yafo, IL

Key dates

• Filing date: Feb 7, 2019
• Grant date: Mar 16, 2021
• Expiry date: May 28, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G16H50/50
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

There is provided a system for computing a single-label neural network for detection of an indication of an acute medical condition, comprising: hardware processor(s) executing a code for: providing a multi-label training dataset including anatomical images each associated with a label indicative of visual finding type(s), or indicative of no visual finding types, training a multi-label neural network for detection of the visual finding types(s) in a target anatomical image according to the multi-label training dataset, creating a single-label training dataset including anatomical images each associated with a label indicative of the selected single visual finding type, or indicative of an absence of the single visual finding type, and training a single-label neural network for detection of the single visual finding type, by setting the trained multi-label neural network as an initial baseline of the single-label neural network, and fine-tuning and/or re-training the baseline according to the single-label training dataset.