Towards automated polyp segmentation using weakly-and semi-supervised learning and deformable transformers

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Original language	English
Title of host publication	Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Publication status	Published - 2023

Cite this

@inproceedings{1209b30c853a47428fd35cf081b1f880,

title = "Towards automated polyp segmentation using weakly-and semi-supervised learning and deformable transformers",

author = "Guangyu Ren and Michalis Lazarou and Jing Yuan and Tania Stathaki",

year = "2023",

language = "English",

booktitle = "Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition",

}