Patent · US Active

Methods for generating synthetic training data and for training deep learning algorithms for tumor lesion characterization, method and system for tumor lesion characterization, computer program and electronically readable storage medium

US11138731B2 · kind B2 · utility

2Cited by

0References

38Claims

0Family size

Assignee

Siemens Healthcare Limited · DE

Inventors

Alexander KATZMANN · Furth, DE
Lisa Kratzke · Erlangen, DE
Alexander MUEHLBERG · Nuremberg, DE
Michael Suehling · Erlangen, DE

Key dates

Filing date	May 21, 2019
Grant date	Oct 5, 2021
Priority date	—
Expiry date	Oct 31, 2039

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/30096
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A method is for generating synthetic training data and for training deep learning algorithms for tumor lesion characterization. In an embodiment, the method for generating synthetic training data for training a deep learning algorithm includes training a Generative Adversarial Network to generate synthetic image data, the Generative Adversarial Network including a generator and a discriminator; and using the generator of the Generative Adversarial Network to generate synthetic image data as the synthetic training data.

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