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

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.
机译:一种方法用于生成综合训练数据并训练用于肿瘤病变特征描述的深度学习算法。在一个实施例中,用于生成用于训练深度学习算法的合成训练数据的方法包括:训练生成对抗网络以生成合成图像数据,该生成对抗网络包括生成器和鉴别器;以及使用生成对抗网络的生成器生成合成图像数据作为合成训练数据。

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