E-Res U-Net: An improved U-Net model for segmentation of muscle images

作者：

Highlights：

• Segmentation of deep and superficial muscles in ultrasonic muscle images.

• An improved U-Net model according with three designed module is presented.

• Each designed module can effectively improve the accuracy of segmentation.

• Compared with other model, the segmentation effect of is significantly improved.

摘要

•Segmentation of deep and superficial muscles in ultrasonic muscle images.•An improved U-Net model according with three designed module is presented.•Each designed module can effectively improve the accuracy of segmentation.•Compared with other model, the segmentation effect of is significantly improved.

论文关键词：Dilated convolution module,Residual learning,Ultrasound image,Muscle image segmentation

论文评审过程：Received 9 September 2020, Revised 9 June 2021, Accepted 14 July 2021, Available online 22 July 2021, Version of Record 28 July 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115625