Pulmonary nodule segmentation based on REMU‑Net 基于REMU-Net的肺结节分割 Abstract 摘要 In recent years, U-Net has shown excellent performance in medical image segmentation, but it cannot accurately segment nodules of smaller size when segmenting pulmonary nodules. To make it more accurate to segme...
In this paper, we propose an end-to-end, more efficient brain tumor MRI segmentation model, REMU-Net, for the problems of multi-scale feature extraction and difficulty in small target feature extraction in 3D brain tumor image segmentation. Firstly, design and use the multi-channel parallel M...
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REMU-Net outperformed most improved U-Net structures in segmenting lung nodules. In addition, the network has better fexibility to choose a suitable architecture according to the computational resources and task requirements. In summary, the REMUNet based pulmonary nodule segmentation method proposed in...
U-NetPulmonary nodulesSegmentationDeep learningPhysical and Engineering Sciences in Medicine - In recent years, U-Net has shown excellent performance in medical image segmentation, but it cannot accurately segment nodules of smaller size when...