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Time-based Self-supervised Learning for Wireless Capsule Endoscopy
State-of-the-art machine learning models, and especially deep learning ones, are significantly data-hungry; they require vast amounts of manually labeled samples to function correctly.
WCE Polyp Detection with Triplet based Embeddings
Automatic image analysis methods can be used to reduce the time needed for physicians to evaluate a capsule endoscopy video, however these methods are still in a research phase.
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