CE-Net: Context Encoder Network for 2D Medical Image Segmentation

Short summary

CE-Net, a novel deep learning architecture, achieves superior 2D medical image segmentation by integrating a context extractor with dense atrous and residual multi-kernel pooling blocks, outperforming U-Net and other methods on tasks like optic disc and lung segmentation.

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