2 citations · 5 across the 4 of their papers we have counts for
4 papers
Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation
Qing En, Yuhong Guo
Medical image segmentation typically demands extensive dense annotations for model training, which is both time-consuming and skill-intensive. To mitigate this burden, exemplar-bas…
AKGNet: Attribute Knowledge-Guided Unsupervised Lung-Infected Area Segmentation
Qing En, Yuhong Guo
Lung-infected area segmentation is crucial for assessing the severity of lung diseases. However, existing image-text multi-modal methods typically rely on labour-intensive annotati…
Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation
Qing En, Yuhong Guo
Medical image segmentation methods typically rely on numerous dense annotated images for model training, which are notoriously expensive and time-consuming to collect. To alleviate…
Exemplar Learning for Medical Image Segmentation
Qing En, Yuhong Guo
Medical image annotation typically requires expert knowledge and hence incurs time-consuming and expensive data annotation costs. To alleviate this burden, we propose a novel learn…