The U-shaped convolutional neural network (CNN) has attained remarkable achievements
in the segmentation of skin lesion. However, given the inherent locality of convolution, this …

Abstract Combining Convolutional Neural Network (CNN) and Transformer has become one
of the mainstream methods for three-dimensional (3D) medical image segmentation …

Polyp segmentation plays a crucial role in the early diagnosis and treatment of colorectal
cancer, which is the third most common cancer worldwide. Despite remarkable successes …

The Transformer architecture has gained widespread acceptance in image segmentation.
However, it sacrifices local feature details and necessitates extensive data for training …

Medical image segmentation is crucial in medical image analysis. In recent years, deep
learning, particularly convolutional neural networks (CNNs) and Transformer models, has …

The accurate segmentation of the polyp is very important for the diagnosis and treatment
plans of the colorectal cancer. Although the UNet model and the models with the U-shaped …

With the advancements of artificial intelligence, deep learning has emerged as the
predominant approach in computational pathology. It is dedicated to automatically analyzing …