DCSAU-Net: A deeper and more compact split-attention U-Net for medical image segmentation

Qing Xu, Zhicheng Ma, Na He, Wenting Duan

Abstract: Highlights•Low-level features are collected using optimised depth-wise separable convolution.•A lightweight multi-scale split attention block is used for deep feature extraction.•Notable performance improvements on complex images are achieved with a compact model.