首页> 外国专利> 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

机译:生成用于肿瘤特征的综合训练数据和训练深度学习算法的方法,肿瘤特征,计算机程序和电子可读存储介质的方法和系统

摘要

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.
机译:生成用于训练深度学习算法的综合训练数据的方法(1),包括以下步骤:-训练生成对抗网络(5)以生成合成图像数据(4),其中生成对抗网络(5)包括生成器(6)和鉴别器(7),-使用生成对抗网络(5)的生成器(6)生成合成图像数据(4)作为合成训练数据。

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