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

Method for generating synthetic training data for training a deep learning algorithm (1), comprising the steps of:- training a Generative Adversarial Network (5) to generate synthetic image data (4), wherein the Generative Adversarial Network (5) comprises a generator (6) and a discriminator (7),- u...

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Hauptverfasser:	Kratzke, Lisa, Katzmann, Alexander, Mühlberg, Alexander, Sühling, Michael
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
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creator	Kratzke, Lisa Katzmann, Alexander Mühlberg, Alexander Sühling, Michael
description	Method for generating synthetic training data for training a deep learning algorithm (1), comprising the steps of:- training a Generative Adversarial Network (5) to generate synthetic image data (4), wherein the Generative Adversarial Network (5) comprises a generator (6) and a discriminator (7),- using the generator (6) of the Generative Adversarial Network (5) to generate synthetic image data (4) as the synthetic training data.
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subjects	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
title	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
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