Attention-guided pyramid context network for polyp segmentation in colonoscopy images G Yue, S Li, R Cong, T Zhou, B Lei, T Wang IEEE Transactions on Instrumentation and Measurement 72, 1-13, 2023 | 52 | 2023 |
Automated polyp segmentation in colonoscopy images via deep network with lesion-aware feature selection and refinement G Yue, W Han, S Li, T Zhou, J Lv, T Wang Biomedical Signal Processing and Control 78, 103846, 2022 | 23 | 2022 |
Hybridvps: Hybrid-supervised video polyp segmentation under low-cost labels W Li, X Xiong, S Li, F Fan IEEE Signal Processing Letters, 2023 | 15 | 2023 |
Adaptive context exploration network for polyp segmentation in colonoscopy images G Yue, S Li, T Zhou, M Wang, J Du, Q Jiang, W Gao, T Wang, J Lv IEEE Transactions on Emerging Topics in Computational Intelligence 7 (2 …, 2022 | 15 | 2022 |
Benchmarking polyp segmentation methods in narrow-band imaging colonoscopy images G Yue, G Zhuo, S Li, T Zhou, J Du, W Yan, J Hou, W Liu, T Wang IEEE Journal of Biomedical and Health Informatics 27 (7), 3360-3371, 2023 | 12 | 2023 |
Unpaired image-to-image translation based domain adaptation for polyp segmentation X Xiong, S Li, G Li 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 12 | 2023 |
Sam2-unet: Segment anything 2 makes strong encoder for natural and medical image segmentation X Xiong, Z Wu, S Tan, W Li, F Tang, Y Chen, S Li, J Ma, G Li arXiv preprint arXiv:2408.08870, 2024 | 4 | 2024 |
Free Meal: Boosting Semi-Supervised Polyp Segmentation by Harvesting Negative Samples X Xiong, W Li, J Ma, D Huang, S Li IEEE Signal Processing Letters, 2024 | | 2024 |