most citedTowards Automated Polyp Segmentation Using Weakly- and Semi-Supervised Learning and Deformable Transformers

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2022★ 2 cited

Towards Automated Polyp Segmentation Using Weakly- and Semi-Supervised Learning and Deformable Transformers

Guangyu Ren, Michalis Lazarou, Jing Yuan +1

Polyp segmentation is a crucial step towards computer-aided diagnosis of colorectal cancer. However, most of the polyp segmentation methods require pixel-wise annotated datasets. A…