Medical image segmentation is a compelling fundamental problem and an important
auxiliary tool for clinical applications. Recently, the Transformer model has emerged as a …

Abstract Convolutional Neural Networks (CNNs), particularly UNet, have become prevalent
in medical image segmentation tasks. However, CNNs inherently struggle to capture global …

Recycling and remanufacturing used automobile brake discs is an important measure to
reduce environmental pollution and reduce production and manufacturing costs. Previous …

Automated multi-organ segmentation presents a considerable challenge due to the diversity
of organs and individual variations. Current state-of-the-art deep learning techniques …

The numerical simulation method requires constitutive modelling and often involves a large
amount of computation and takes a long time. In order to avoid the disadvantages of …