Spinal X Ray

Spinal X-ray analysis is undergoing a transformation driven by advancements in deep learning, aiming to automate tasks like vertebrae segmentation, spinal curvature measurement, and the detection of pathologies such as osteophytes and spinal metastases. Current research heavily utilizes convolutional neural networks (CNNs), transformers, and diffusion models to achieve accurate and efficient image analysis from both X-ray and MRI data, often incorporating techniques like multi-task learning and novel loss functions to improve performance. These automated methods promise to significantly reduce the time and cost associated with manual analysis, improving diagnostic accuracy and streamlining clinical workflows.