Search

A study conducted at Peking Union Medical College Hospital in Beijing, China, has developed a deep learning method for detecting and segmenting facet joints in ultrasound images. The researchers used convolutional neural networks (CNNs) and enhanced data annotation to improve the accuracy of the model. The study included 300 patients undergoing pain treatment, and the deep learning model achieved a 90.4% detection rate and an 85.0% segmentation rate for facet joints. This research demonstrates the potential of deep learning techniques in analyzing ultrasound images of facet joints. [Extracted from the article]