A variational autoencoder (VAE) is a deep neural system that can be used ... Next, the demo trains a VAE model using the 389 images. The demo concludes by using the trained VAE to generate a synthetic ...

In this article, we propose a self-augmentation strategy for improving ML-based device modeling using variational autoencoder (VAE)-based techniques. These techniques require a small number of ...

Kaizen rethinks cell segmentation by mimicking brain predictions. Using an iterative machine-learning approach to refine boundaries in crowded microscopy images, it enhances accuracy in tissue studies ...