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Dynamic Channel Resonance and Spectrum Weaving for Multi-focal medical image segmentation

Before the publication of our paper, we will upload the code for our model to GitHub to facilitate its reproduction and validation. Following the publication, we will release the details of our innovative contributions as well as the model architecture diagram.

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To address persistent bottlenecks of convolutional neural networks (CNNs) in clinical applications—namely inadequate modeling of long-range dependencies, high sensitivity to noise, and degradation of fine-grained details—we propose a medical image segmentation network based on dynamic channel resonance and spectral weaving (DRSW Net).

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