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Found 4 papers, 2 papers with code
Annotation-Efficient Polyp Segmentation via Active Learning
To minimize annotation costs, we propose a deep active learning framework for annotation-efficient polyp segmentation.
Lesion-aware Dynamic Kernel for Polyp Segmentation
Automatic and accurate polyp segmentation plays an essential role in early colorectal cancer diagnosis.
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Segmentation
Semi-supervised learning (SSL), which aims at leveraging a few labeled images and a large number of unlabeled images for network training, is beneficial for relieving the burden of data annotation in medical image segmentation.
Deep Transformers for Fast Small Intestine Grounding in Capsule Endoscope Video
In this paper, we propose a deep model to ground shooting range of small intestine from a capsule endoscope video which has duration of tens of hours.
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