Multiple operating point false positive removal for lesion identification

US11688517B2 · kind B2 · utility

Assignee

• GUERBET · FR

Inventors

• Thomas Binder · Wulfen, DE
• Giovanni John Jacques Palma · Chaville, FR

Key dates

• Filing date: Oct 30, 2020
• Grant date: Jun 27, 2023
• Expiry date: May 31, 2041

Classification

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

Abstract

A false positive removal engine is provided. The false positive removal engine receives detected objects in one or more images. A machine learning classifier computer model, configured with first operational parameters to implement a first operating point, processes the received input to classify each detected object as being a true positive or a false positive to generate a first set of object classifications. If the first set is empty, the false positive removal engine outputs the first set as a filtered list of objects; otherwise the ML classifier computer model is configured with second operational parameters to implement a second operating point, different from the first operating point, which then processes the received input to classify each detected object and generate a second set of objects classified as true positive, which is output by the false positive removal engine as the filtered list of objects.