Endobronchial Ultrasound

Endobronchial ultrasound (EBUS) is a minimally invasive imaging technique used to visualize and sample lung lesions, aiding in the diagnosis of lung cancer and other malignancies. Current research focuses on developing computer-aided diagnostic systems using advanced image analysis techniques, including 3D convolutional neural networks and semi-supervised learning methods, to improve the accuracy and efficiency of lesion detection and classification from EBUS videos and images. These advancements aim to reduce the workload on clinicians, improve diagnostic accuracy, and ultimately lead to faster and more effective treatment planning for patients.