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

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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Bibliographische Detailangaben
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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Beschreibung
Zusammenfassung: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.