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Methods and apparatus for automated specimen characterization using diagnostic analysis system with continuous performance based training

Grant US12579432B2 Kind: B2 Mar 17, 2026

Assignee

Siemens Healthcare Diagnostics Inc.

Inventors

Venkatesh NarasimhaMurthy, Vivek Singh, Yao-Jen Chang, Benjamin S. Pollack, Ankur Kapoor, Rayal Raj Prasad Nalam Venkat

Abstract

A method of characterizing a specimen to be analyzed in an automated diagnostic analysis system provides a segmentation determination and/or an HILN (hemolysis, icterus, lipemia, normal) determination of the specimen while providing characterization training updates based on the accuracy and/or confidence in the determinations. The method includes identifying an incorrect or low confidence segmentation or HILN determination, forwarding the incorrect or low confidence determination from the HILN network to a database, and providing one or more training images to the HILN network based on the incorrect or low confidence determination. Quality check modules and systems configured to carry out the method are also described, as are other aspects.

CPC Classifications

G06N 3/08 G06N 3/045 G01N 35/00613 G06F 18/2431 G06F 18/2414 G06T 7/0012 G06T 2207/20081 G06V 10/82 G06V 20/695 G06V 2201/06

Filing Date

2020-10-22

Application No.

17755465

Claims

20