In recent years, the use of computer algorithms for identifying specific objects within images, called “image segmentation,” has become popular in medical image analysis, helping doctors diagnose ...

Convolutional Neural Networks (CNNs) have achieved remarkable segmentation accuracy in medical image segmentation tasks. However, the Vision Transformer (ViT) model, with its capability of extracting ...

Deep learning-based image analysis offers great potential in clinical practice. However, it faces mainly two challenges: scarcity of large-scale annotated clinical data for training and susceptibility ...