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Enhanced Deformable Convolution for Medical Segmentation by cowaket871 is a document available to read on EtoBox.
What is Enhanced Deformable Convolution for Medical Segmentation about?
The document presents DFEDC, a novel dual fusion network that enhances medical image segmentation by utilizing structured deformable convolutions and multi-scale feature integration. It addresses the limitations of traditional CNNs, such as high computational costs and fixed kernel sizes, by dynamically adjusting receptive fields and combining global channel and spatial information. Experimental results demonstrate that DFEDC outperforms existing methods on various medical image datasets, highlighting its e
- Author
- cowaket871
- Language
- EN