自从深度学习被引入到医学图像分割中,UNet及其变体在医学图像分析中得到了广泛的应用。为了提高医学超声图像的分割精度,该研究提出了一种多尺度通道注意机制的UNet (MSCA-UNet)。具体来说,构建了一个多尺度模块来连接和增强卷积提取的不同...
Since deep learning is introduced to medical image segmentation, UNet and its variants have been extensively applied in medical image analysis. This paper proposes a multi-scale channel attention UNet (MSCA-UNet) to raise the accuracy of the segmentation in medical ultrasound images. Specifically, a...
MSCA-UNet: multi-scale channel attention-based UNet for segmentation of medical ultrasound images Since deep learning is introduced to medical image segmentation, UNet and its variants have been extensively applied in medical image analysis. This paper ... Z Chen,H Zhu,Y Liu,... - 《Cluster ...
Since deep learning is introduced to medical image segmentation, UNet and its variants have been extensively applied in medical image analysis. This paper proposes a multi-scale channel attention UNet (MSCA-UNet) to raise the accuracy of the segmentation in medical ultrasound images. Specifically, a...
UNet模型用于肝脏分割.在编码阶段,该模块融合不同尺度的卷积核的输出,有效挖掘了不同尺度的特征;提取的特征以注意力的方式作用于该模块的输入特征,进而逐步过滤掉与肝脏分割无关的组织,提升分割精度;模型输出的结果使用三维最大连通域加以优化.实验表明,在样本集LiTS上,与U-Net等模型相比,所提出的MSCA-UNet有更高...