Specialized computer-aided diagnosis and disease characterization with a multi-focal ensemble of convolutional neural networks

US11817204B2 · kind B2 · utility

Assignees

• CASE WESTERN RESERVE UNIVERSITY · US
• The United States Government as Represented by The Department of Veteran Affairs · US

Inventors

• Anant Madabhushi · Beachwood, US
• Nathaniel Braman · Cleveland, US
• Tristan Maidment · Cleveland, US
• Yijiang Chen · Chelmsford, US

Key dates

• Filing date: Dec 9, 2020
• Grant date: Nov 14, 2023
• Expiry date: Oct 14, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G06V2201/032
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Embodiments discussed herein facilitate determination of whether lesions are benign or malignant. One example embodiment is a method, comprising: accessing medical imaging scan(s) that are each associated with distinct angle(s) and each comprise a segmented region of interest (ROI) of that medical imaging scan comprising a lesion associated with a first region and a second region; providing the first region(s) of the medical imaging scan(s) to trained first deep learning (DL) model(s) of an ensemble and the second region(s) of the medical imaging scan(s) to trained second DL model(s) of the ensemble; and receiving, from the ensemble of DL models, an indication of whether the lesion is a benign architectural distortion (AD) or a malignant AD.