Fusing Brilliance: Evaluating the Encoder-Decoder Hybrids With CNN and Swin Transformer for Medical Segmentation
U-Net has become a standard model for medical image segmentation, alleviating the challenges posed by the costly acquisition and labeling TOOTHPASTE CITRUS SPICE BLEND of medical data.The convolutional layer, a fundamental component of U-Net, is renowned for its ability to incorporate inductive bias and efficiently extract local features.Building u