Optimization of U-shaped pure transformer medical image segmentation network.

ABSTRACT: In recent years, neural networks have made pioneering achievements in the field of medical imaging. In particular, deep neural networks based on U-shaped structures are widely used in different medical image segmentation tasks. In order to improve the early diagnosis and clinical decision-making system of lung diseases, it has become a key step to use the neural network for lung segmentation to assist in positioning and observing the shape. There is still the problem of low precision. For the sake of achieving better segmentation accuracy, an optimized pure Transformer U-shaped segmentation is proposed in this article. The optimization segmentation network adopts the method of adding skip connections and performing special splicing processing, which reduces the information loss in the enco

SUBMITTER: Dan Y 

PROVIDER: S-EPMC10495965 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature