Revealing speckle obscured living human retinal cells with artificial intelligence assisted ...

Summary

The article details how P-GAN, a type of Generative Adversarial Network (GAN), successfully recovers retinal cellular structures from speckled images using deep learning techniques, particularly twin and CNN discriminators for improved image recovery. It applies GANs in computational neuroscience and cognitive science for unsupervised learning, highlighting advancements in artificial neural networks related to generative artificial intelligence. The research leverages technologies like convolutional neural networks (CNN) for cellular structure visualization, contributing to the fields of deep learning and potentially aiding future retinal studies or medical imaging enhancements.