Lesion detection artificial intelligence pipeline computing system

US11688065B2 · kind B2 · utility

Assignee

• GUERBET · FR

Inventors

• Giovanni John Jacques Palma · Chaville, FR
• Pedro Luis Esquinas Fernandez · Mississauga, CA
• Paul Dufort · Toronto, CA
• Thomas Binder · Wulfen, DE
• Arkadiusz Sitek · Walnut Creek, US
• Dana Levanony · Tel Aviv-Yafo, IL
• Yi-Qing Wang · Paris, FR
• Omid Bonakdar Sakhi · North York, CA

Key dates

• Filing date: May 10, 2022
• Grant date: Jun 27, 2023
• Expiry date: May 10, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/30096
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A lesion detection and classification artificial intelligence (AI) pipeline comprising a plurality of trained machine learning (ML) computer models is provided. First ML model(s) process an input volume of medical images (VOI) to determine whether VOI depicts a predetermined amount of an anatomical structure. The AI pipeline determines whether criteria, such as a predetermined amount of an anatomical structure of interest being depicted in the input volume, are satisfied by output of the first ML model(s). If so, lesion processing operations are performed including: second ML model(s) processing the VOI to detect lesions which correspond to the anatomical structure of interest; third ML model(s) performing lesion segmentation and combining of lesion contours associated with a same lesion; and fourth ML models processing the listing of lesions to classify the lesions. The AI pipeline outputs the listing of lesions and the classifications for downstream computing system processing.