9 citations · 10 across the 9 of their papers we have counts for
9 papers
MARIO: A Mixed Annotation Framework For Polyp Segmentation
Haoyang Li, Yiwen Hu, Jun Wei +1
Existing polyp segmentation models are limited by high labeling costs and the small size of datasets. Additionally, vast polyp datasets remain underutilized because these models ty…
MixPolyp: Integrating Mask, Box and Scribble Supervision for Enhanced Polyp Segmentation
Yiwen Hu, Jun Wei, Yuncheng Jiang +4
Limited by the expensive labeling, polyp segmentation models are plagued by data shortages. To tackle this, we propose the mixed supervised polyp segmentation paradigm (MixPolyp).…
Let Video Teaches You More: Video-to-Image Knowledge Distillation using DEtection TRansformer for Medical Video Lesion Detection
Yuncheng Jiang, Zixun Zhang, Jun Wei +5
AI-assisted lesion detection models play a crucial role in the early screening of cancer. However, previous image-based models ignore the inter-frame contextual information present…
Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development
Yuncheng Jiang, Yiwen Hu, Zixun Zhang +7
Endorectal ultrasound (ERUS) is an important imaging modality that provides high reliability for diagnosing the depth and boundary of invasion in colorectal cancer. However, the la…
ScribblePolyp: Scribble-Supervised Polyp Segmentation through Dual Consistency Alignment
Zixun Zhang, Yuncheng Jiang, Jun Wei +2
Automatic polyp segmentation models play a pivotal role in the clinical diagnosis of gastrointestinal diseases. In previous studies, most methods relied on fully supervised approac…
WeakPolyp: You Only Look Bounding Box for Polyp Segmentation
Jun Wei, Yiwen Hu, Shuguang Cui +2
Limited by expensive pixel-level labels, polyp segmentation models are plagued by data shortage and suffer from impaired generalization. In contrast, polyp bounding box annotations…