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Beyond Entropy Filtering: Spatial-Semantic Curriculum Decoupling for Semi-Supervised Medical Image Segmentation
超越熵滤波:半监督医学图像分割的空间语义课程解耦
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其它 | Abstract: The Spatial-Semantic Curriculum Decoupling (SSCD) framework addresses the critical challenge of foreground-background class imbalance in semi-supervised medical image segmentation through task-driven curriculum learning. By adaptively decoupling spatial and semantic complexity during training, our method achieves state-of-the-art performance on multiple benchmarks. |
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