A variational autoencoder (VAE) is a deep neural system that can be ... The demo generates synthetic images of handwritten "1" digits based on the UCI Digits dataset. Each image is 8 by 8 pixel values ...

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 ...

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 ...