关键词: 脊柱X线图像, U-Net, 图像分割, 卷积块注意力模块

Abstract:

In order to segment spine accurately from X-ray images, a method of spine X-ray image segmentation based on deep learning is proposed, which uses U-Net network based on multi-scale feature fusion. The convolutional layer in the U-Net model is replaced with an Inception network to extract features of different scales and perform multi-scale fusion. At the same time, the residual connection layer is added in front of the skip connection, and the convolution block attention module is added in front of the first up-sampling layer. In this paper, 20 spinal X-ray images are verified by the model, and the Dice coefficient is 0.8457, which is 0.1351 higher than the recent method of spinal X-ray image segmentation.

Key words: spinal X-ray image, U-Net, image segmentation, convolution block attention module