FDB-Net: Fusion double branch network combining CNN and transformer for medical image segmentation.
Journal:
Journal of X-ray science and technology
Published Date:
Jan 1, 2024
Abstract
BACKGROUND: The rapid development of deep learning techniques has greatly improved the performance of medical image segmentation, and medical image segmentation networks based on convolutional neural networks and Transformer have been widely used in this field. However, due to the limitation of the restricted receptive field of convolutional operation and the lack of local fine information extraction ability of the self-attention mechanism in Transformer, the current neural networks with pure convolutional or Transformer structure as the backbone still perform poorly in medical image segmentation.