no code implementations • 21 Mar 2024 • Duojun Huang, Xinyu Xiong, De-Jun Fan, Feng Gao, Xiao-Jian Wu, Guanbin Li
To minimize annotation costs, we propose a deep active learning framework for annotation-efficient polyp segmentation.
1 code implementation • 12 Jan 2023 • Ruifei Zhang, Peiwen Lai, Xiang Wan, De-Jun Fan, Feng Gao, Xiao-Jian Wu, Guanbin Li
Automatic and accurate polyp segmentation plays an essential role in early colorectal cancer diagnosis.
1 code implementation • 8 Feb 2022 • Xinkai Zhao, Chaowei Fang, De-Jun Fan, Xutao Lin, Feng Gao, Guanbin Li
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.
no code implementations • 7 Apr 2021 • Xinkai Zhao, Chaowei Fang, Feng Gao, De-Jun Fan, Xutao Lin, Guanbin Li
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.