Abstract: Highlights•First ever capsule network for image segmentation.•Reduced memory burden: locally-constrained routing and transformation matrix sharing.•Introduced novel deconvolutional capsules to create encoder-decoder architecture.•Extended the reconstruction regularization to the segmentation task.•Outperformed existing methods across five clinical and preclinical datasets for lung segmentation from CT scans.
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