Patent · US Active

AI-based image analysis for the detection of normal images

US11935230B2 · kind B2 · utility

0Cited by

0References

11Claims

0Family size

Assignee

Siemens Healthineers AG · DE

Inventors

Philipp Hölzer · Baltimore, US
Richard C. Frank · Newton, US
Sebastian Schmidt · Weisendorf, DE
Jonathan Immanuel Sperl · Freising, DE

Key dates

Filing date	Apr 22, 2021
Grant date	Mar 19, 2024
Priority date	—
Expiry date	Jun 12, 2042

Classification

Technology area (CPC G)Physics
CPC primaryG06V2201/03
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A system and method for identifying abnormal medical images. The system can be configured to receive a medical image, segment an anatomical structure from the medical image to define a segmented dataset, register the segmented dataset to a baseline dataset defining a normal anatomical structure, classify, by an abnormality classifier, whether the anatomical structure within the medical image as either abnormal or normal, wherein the abnormality classifier comprises a machine learning algorithm trained to distinguish between normal and abnormal versions of the anatomical structure in medical images, and based on whether the anatomical structure can be segmented from the medical image, whether the segmented dataset can be registered to the baseline dataset, or a classification associated with the medical image output by the abnormality classifier, flagging the medical image as either normal or abnormal.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.