Wireless Capsule Endoscopy

Wireless capsule endoscopy (WCE) is a minimally invasive technique for visualizing the gastrointestinal tract, aiming to improve diagnostic accuracy and reduce the burden on healthcare professionals. Current research heavily emphasizes the development of computer-aided diagnostic systems using deep learning models like convolutional neural networks (CNNs), transformers, and diffusion models to automate tasks such as bleeding detection, polyp identification, and image enhancement. These advancements focus on improving image quality, addressing challenges like uneven illumination and artifacts, and enabling more efficient and accurate analysis of the vast amounts of data generated by WCE. The ultimate goal is to facilitate earlier and more precise diagnosis of gastrointestinal diseases.