Machine Learning Methods For Solving Optical Imaging Problems

This article discusses the use of machine learning methods in optical imaging techniques, highlighting their potential for better performance over conventional methods. It also explores the limitations of deep learning approaches and the need for further attention in this area. The Special Issue aims to showcase the application of machine learning in various optical imaging techniques and investigate ways to improve deep learning methods by incorporating prior knowledge of optical imaging systems.