Abstract Deep Self-Attention Network (Transformer) is an encoder–decoder architectural model that excels in establishing long-distance dependencies and is first applied in natural language processing. Due to its complementary nature with the inductive bias of convolutional neural network (CNN). Transformer has been gradually applied to medical image processing. including kidney image ... https://ashleyshomestores.shop/product-category/2-piece-raf-sectional-sleeper/