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A robust lightweight deep learning network with deformable convolutions for efficient segmentation of optical coherence tomography images
Manual segmentation and evaluation of optical coherence tomography (OCT) images are difficult and rely on specialist training, which limits the output in a busy clinic. While automatic segmentation can ease this burden, the deep models that currently lead the field tend to be too heavy for routine deployment on sta...