| O-Net: a novel framework with deep fusion of CNN and transformer for simultaneous segmentation and classification T Wang, J Lan, Z Han, Z Hu, Y Huang, Y Deng, H Zhang, J Wang, M Chen, ... Frontiers in neuroscience 16, 876065, 2022 | 30 | 2022 |
| Cuss-net: a cascaded unsupervised-based strategy and supervised network for biomedical image diagnosis and segmentation X Zhou, Z Li, Y Xue, S Chen, M Zheng, C Chen, Y Yu, X Nie, X Lin, ... IEEE Journal of Biomedical and Health Informatics 27 (5), 2444-2455, 2023 | 14 | 2023 |
| A multi-task deep learning framework for perineural invasion recognition in gastric cancer whole slide images Z Hu, Y Deng, J Lan, T Wang, Z Han, Y Huang, H Zhang, J Wang, ... Biomedical Signal Processing and Control 79, 104261, 2023 | 14 | 2023 |
| H-Net: a dual-decoder enhanced FCNN for automated biomedical image diagnosis X Zhou, X Nie, Z Li, X Lin, E Xue, L Wang, J Lan, G Chen, M Du, T Tong Information Sciences 613, 575-590, 2022 | 14 | 2022 |
| A deep learning quantification algorithm for HER2 scoring of gastric cancer Z Han, J Lan, T Wang, Z Hu, Y Huang, Y Deng, H Zhang, J Wang, M Chen, ... Frontiers in Neuroscience 16, 877229, 2022 | 7 | 2022 |
| Using less annotation workload to establish a pathological auxiliary diagnosis system for gastric cancer J Lan, M Chen, J Wang, M Du, Z Wu, H Zhang, Y Xue, T Wang, L Chen, ... Cell Reports Medicine 4 (4), 2023 | 5 | 2023 |
| Stereo cross global learnable attention module for stereo image super-resolution Y Zhou, Y Xue, W Deng, R Nie, J Zhang, J Pu, Q Gao, J Lan, T Tong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
| Predicting differentiation degree of gastric cancer pathology images based on mask attention R-CNN Y Deng, J Lan, Y Huang, Q Gao, H Zhang, T Tong, G Chen 2021 2nd International Conference on Computer Engineering and Intelligent …, 2021 | 5 | 2021 |
| Auxiliary diagnostic method for patellofemoral pain syndrome based on one-dimensional convolutional neural network W Shi, Y Li, D Xu, C Lin, J Lan, Y Zhou, Q Zhang, B Xiong, M Du Frontiers in Public Health 9, 615597, 2021 | 4 | 2021 |
| Unpaired stain style transfer using invertible neural networks based on channel attention and long-range residual J Lan, S Cai, Y Xue, Q Gao, M Du, H Zhang, Z Wu, Y Deng, Y Huang, ... IEEE Access 9, 11282-11295, 2021 | 4 | 2021 |
| Ghost Feature Network for Super-Resolution Y Huang, Y Zhou, J Lan, Y Deng, Q Gao, T Tong 2020 Cross Strait Radio Science & Wireless Technology Conference (CSRSWTC), 1-3, 2020 | 4 | 2020 |
| Deep learning framework for detecting positive lymph nodes of gastric cancer on histopathological images Y Huang, Y Xue, J Lan, Y Deng, G Chen, H Zhang, M Dang, T Tong Proceedings of the 2021 6th International Conference on Biomedical Imaging …, 2021 | 3 | 2021 |
| Face beauty: Improving quality of face with semantic segmentation prior and style encoder Y Deng, Y Zhou, J Lan, Y Huang, Q Gao, T Tong 2020 Cross Strait Radio Science & Wireless Technology Conference (CSRSWTC), 1-3, 2020 | 2 | 2020 |
| Prediction of lymph node metastasis in primary gastric cancer from pathological images and clinical data by multimodal multiscale deep learning Z Guo, J Lan, J Wang, Z Hu, Z Wu, J Quan, Z Han, T Wang, M Du, Q Gao, ... Biomedical Signal Processing and Control 86, 105336, 2023 | 1 | 2023 |
| Toward real world stereo image super-resolution via hybrid degradation model and discriminator for implied stereo image information Y Zhou, Y Xue, J Bi, W He, X Zhang, J Zhang, W Deng, R Nie, J Lan, ... Expert Systems with Applications, 124457, 2024 | | 2024 |
| A deep learning model fusion algorithm for the diagnosis of gastric Mucosa-associated lymphoid tissue lymphoma J Quan, J Ye, J Lan, J Wang, Z Hu, Z Guo, T Wang, Z Han, Z Wu, T Tan, ... Biomedical Signal Processing and Control 92, 106064, 2024 | | 2024 |
| Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation T Wang, Y Chen, X Zhang, Y Zhou, J Lan, B Bai, T Tan, M Du, Q Gao, ... arXiv preprint arXiv:2311.10349, 2023 | | 2023 |
| PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification T Wang, X Zhang, Y Zhou, J Lan, T Tan, M Du, Q Gao, T Tong arXiv preprint arXiv:2306.16918, 2023 | | 2023 |
Tong Tong (童同)Imperial Vision Technology/ Fuzhou University在 imperial-vision.com 的电子邮件经过验证
