ECLNet: Efficient convolution with lite transformer for thymoma segmentation

doi:10.1016/j.displa.2025.103091

2025-06-03

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DOI：10.1016/j.displa.2025.103091

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• 我们提出ECLNet，一种结合高效卷积和轻量级Transformer的混合架构，以减少计算开销。 • 我们提出轻量级全局自注意力机制，用于捕获高分辨率医学图像中的全局依赖关系，同时减少计算量。 • 我们提出在输出层中引入一个优化块，用于调整深度特征，以提升肿瘤边界精度和胸腺瘤分割精度。 • 我们提出将ECLNet应用于胸腺瘤分割，并在BTCV和DBCM数据集上验证了其达到当前最佳性能。

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