Methods and apparatus for HILN characterization using convolutional neural network

US11238318B2 · kind B2 · utility

Assignee

• Siemens Healthcare Diagnostics Inc. · US

Inventors

• Shanhui Sun · Princeton, US
• Stefan Kluckner · Berlin, DE
• Yao-Jen Chang
• Terrence Chen · Princeton, US
• Benjamin S. Pollack · Budd Lake, US

Key dates

• Filing date: Apr 10, 2018
• Grant date: Feb 1, 2022
• Expiry date: May 23, 2038

Classification

• Technology area (CPC G): Physics
• CPC primary: G06V2201/03
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

A method of characterizing a serum and plasma portion of a specimen in regions occluded by one or more labels. The characterization may be used for determining Hemolysis (H), Icterus (I), and/or Lipemia (L), or Normal (N) of a serum or plasma portion of a specimen. The method includes capturing one or more images of a labeled specimen container including a serum or plasma portion, processing the one or more images with a convolutional neural network to provide a determination of Hemolysis (H), Icterus (I), and/or Lipemia (L), or Normal (N). In further embodiments, the convolutional neural network can provide N′-Class segmentation information. Quality check modules and testing apparatus adapted to carry out the method are described, as are other aspects.