MA-Unet: An improved version of Unet based on multi-scale and attention mechanism for medical image segmentation

Understand

Although convolutional neural networks (CNNs) are promoting the development of medical image semantic segmentation, the standard model still has some shortcomings.

• First, the feature mapping from the encoder and decoder sub-networks in the skip connection operation has a large semantic difference.
• Second, the remote feature dependence is not effectively modeled.
• Third, the global context information of different scales is ignored.