PRELIMINARY PROCESSING OF DATABASES FOR MEDICAL APPLICATIONS
Medical databases are often small and noisy, that affects the quality of training and overall model performance. This article is devoted to method of preliminary database processing using Conditional Generative Adversarial Nets (CGANs). As a result, we obtain two networks: one (generator) is used for enrichment of limited dataset while giving some control over the process, and another (discriminator) is used for outlier analysis.