Ground Glass Opacity

Ground glass opacity (GGO) refers to a hazy or cloudy appearance on medical images, particularly in lung CT scans, indicating various lung pathologies. Current research focuses on improving the accuracy and efficiency of GGO detection and segmentation using deep learning models, such as convolutional neural networks and transformers, often employing multi-task learning and transfer learning strategies to leverage limited labeled data. These advancements are crucial for improving diagnostic accuracy and facilitating better treatment planning for lung diseases, impacting both clinical practice and the development of more sophisticated medical image analysis tools.