Deep learning volume quantifying methods and apparatus

US11657593B2 · kind B2 · utility

Assignee

• Siemens Healthcare Diagnostics Inc. · US

Inventors

• Stefan Kluckner · Berlin, DE
• Yao-Jen Chang
• Kai Ma · Plainsboro, US
• Vivek Singh · Monmouth Junction, US
• Terrence Chen · Princeton, US
• Benjamin S. Pollack · Budd Lake, US

Key dates

• Filing date: Jul 25, 2018
• Grant date: May 23, 2023
• Expiry date: Aug 8, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/20084
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

A neural network-based method for quantifying a volume of a specimen. The method includes providing a specimen, capturing images of the specimen, and directly classifying to one of a plurality of volume classes or volumes using a trained neural network. Quality check modules and specimen testing apparatus adapted to carry out the volume quantification method are described, as are other aspects.