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Multi-organ Self-supervised Contrastive Learning for Breast Lesion Segmentation
Self-supervised learning has proven to be an effective way to learn representations in domains where annotated labels are scarce, such as medical imaging.
End-to-End Learning of Video Compression Using Spatio-Temporal Autoencoders
Deep learning (DL) is having a revolutionary impact in image processing, with DL-based approaches now holding the state of the art in many tasks, including image compression.
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