Transformers have emerged as a powerful class of deep learning models that overcome the locality constraints of convolutional neural networks by modelling long-range dependencies through ...

Deep learning has transformed the segmentation of lung structures in computed tomography by enabling fully automated delineation of lung parenchyma, airways and lobes with high accuracy and efficiency ...