Why You Should Consider Using Generative Adversarial Networks for Medical Data

Two Advantages in Using GANs for Medical Data

Supervised deep learning methods require a large amount of data which might be hard to obtain, especially in the medical domain. One reason is that it is private data that we can’t always get, use and share. The second reason is the difficulty to obtain labels for this data. Expert annotators, such as doctors and nurses, are needed, which are both costly and time-consuming. Even …

data generative-adversarial generative adversarial networks generative-model medical networks synthetic data