| Deep learning methods for lung cancer segmentation in whole-slide histopathology images—the acdc@ lunghp challenge 2019 Z Li, J Zhang, T Tan, X Teng, X Sun, H Zhao, L Liu, Y Xiao, B Lee, Y Li, ... IEEE Journal of Biomedical and Health Informatics 25 (2), 429-440, 2020 | 88 | 2020 |
| SU-Net and DU-Net fusion for tumour segmentation in histopathology images Y Li, Z Xu, Y Wang, H Zhou, Q Zhang 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 461-465, 2020 | 12 | 2020 |
| Ctooth+: A large-scale dental cone beam computed tomography dataset and benchmark for tooth volume segmentation W Cui, Y Wang, Y Li, D Song, X Zuo, J Wang, Y Zhang, H Zhou, B Chong, ... MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, 64-73, 2022 | 10 | 2022 |
| U-Net ensemble model for segmentation inHistopathology images Y Li, X Huang, Y Wang, Z Xu, Y Sun, Q Zhang | 5 | 2019 |
| POST-IVUS: A perceptual organisation-aware selective transformer framework for intravascular ultrasound segmentation X Huang, R Bajaj, Y Li, X Ye, J Lin, F Pugliese, A Ramasamy, Y Gu, ... Medical Image Analysis 89, 102922, 2023 | 3 | 2023 |
| Sketch-supervised histopathology tumour segmentation: Dual CNN-transformer with global normalised CAM Y Li, L Wang, X Huang, Y Wang, L Dong, R Ge, H Zhou, J Ye, Q Zhang IEEE Journal of Biomedical and Health Informatics, 2023 | 3 | 2023 |
| Light Annotation Fine Segmentation: Histology Image Segmentation Based on VGG Fusion with Global Normalisation CAM Y Li, Y Wang, L Dong, J Ye, L Wang, R Ge, H Zhou, Q Zhang International Workshop on Computational Mathematics Modeling in Cancer …, 2022 | 1 | 2022 |
| DU-Net Based Unsupervised Contrastive Learning for Cancer Segmentation in Histology Images Y Li, Y Wang, H Zhou, H Wang, G Jia, Q Zhang International Conference on Intelligent Robotics and Applications, 201-210, 2022 | 1 | 2022 |
