Improved Unet brain tumor image segmentation based on GSConv module and
ECA attention mechanism
Improved Unet brain tumor image segmentation based on GSConv module and
ECA attention mechanism
An improved model of medical image segmentation for brain tumor is discussed, which is a deep learning algorithm based on U-Net architecture. Based on the traditional U-Net, we introduce GSConv module and ECA attention mechanism to improve the performance of the model in medical image segmentation tasks. With these improvements, …