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Efficiently segmenting complex 3D curvilinear structures could revolutionize medical imaging by enhancing the accuracy of anatomical representations.
A noise-adaptive attention mechanism lets a lightweight U-Net segment microtubules in noisy microscopy images better than heavier models, even generalizing to blood vessels and nerves.
