Fluoroscopic Image

Fluoroscopic images, real-time X-ray video sequences, are crucial in guiding minimally invasive surgeries. Current research heavily focuses on improving image quality through denoising techniques and self-supervised learning, and enhancing the accuracy of automated image analysis using deep learning models, including convolutional neural networks and transformers, for tasks like guidewire tracking and 3D reconstruction of anatomical structures. These advancements aim to improve surgical precision, reduce radiation exposure, and streamline workflows, ultimately leading to better patient outcomes and more efficient surgical procedures.