Helium-327/DCLA-UNet-3D: 首次发布

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Authors: Helium-327
Cited by: 0

Abstract

DCLA-UNet introduces a Dynamic Cross Layer Attention (DCLA) mechanism that dynamically selects the most relevant features from different layers of the network. This attention mechanism enhances the feature representation capability of U-Net for medical image segmentation tasks, particularly for brain tumor segmentation in BraTS datasets.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 January 2026