| GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathological Image Detection H Chen, C Li, G Wang, X Li, M Rahaman, H Sun, W Hu, Y Li, W Liu, C Sun, ... Pattern Recognition, 108827, 2022 | 224* | 2022 |
| CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron W Liu, C Li, N Xu, T Jiang, MM Rahaman, H Sun, X Wu, W Hu, H Chen, ... Pattern Recognition 130, 108829, 2022 | 159 | 2022 |
| IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach H Chen, C Li, X Li, MM Rahaman, W Hu, Y Li, W Liu, C Sun, H Sun, ... Computers in Biology and Medicine 143, 105265, 2022 | 110 | 2022 |
| GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer W Hu, C Li, X Li, MM Rahaman, J Ma, Y Zhang, H Chen, W Liu, C Sun, ... Computers in biology and medicine 142, 105207, 2022 | 78 | 2022 |
| SVIA dataset: a new dataset of microscopic videos and images for computer-aided sperm analysis A Chen, C Li, S Zou, MM Rahaman, Y Yao, H Chen, H Yang, P Zhao, ... Biocybernetics and Biomedical Engineering 42 (1), 204-214, 2022 | 76 | 2022 |
| Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: From … W Liu, C Li, MM Rahaman, T Jiang, H Sun, X Wu, W Hu, H Chen, C Sun, ... Computers in biology and medicine 141, 105026, 2022 | 69 | 2022 |
| Application of transfer learning and ensemble learning in image-level classification for breast histopathology Y Zheng, C Li, X Zhou, H Chen, H Xu, Y Li, H Zhang, X Li, H Sun, ... Intelligent Medicine 3 (02), 115-128, 2023 | 68 | 2023 |
| CAM-VT: A weakly supervised cervical cancer nest image identification approach using conjugated attention mechanism and visual transformer Z Fan, X Wu, C Li, H Chen, W Liu, Y Zheng, J Chen, X Li, H Sun, T Jiang, ... Computers in Biology and Medicine 162, 107070, 2023 | 39 | 2023 |
| A hierarchical conditional random field-based attention mechanism approach for gastric histopathology image classification Y Li, X Wu, C Li, X Li, H Chen, C Sun, MM Rahaman, Y Yao, Y Zhang, ... Applied Intelligence, 1-22, 2022 | 34 | 2022 |
| EBHI: A new Enteroscope Biopsy Histopathological H&E Image Dataset for image classification evaluation W Hu, C Li, MM Rahaman, H Chen, W Liu, Y Yao, H Sun, M Grzegorzek, ... Physica Medica 107, 102534, 2023 | 22 | 2023 |
| EBHI-Seg: A novel enteroscope biopsy histopathological hematoxylin and eosin image dataset for image segmentation tasks L Shi, X Li, W Hu, H Chen, J Chen, Z Fan, M Gao, Y Jing, G Lu, D Ma, ... Frontiers in Medicine 10, 1114673, 2023 | 20 | 2023 |
| A comparative study of gastric histopathology sub-size image classification: From linear regression to visual transformer W Hu, H Chen, W Liu, X Li, H Sun, X Huang, M Grzegorzek, C Li Frontiers in Medicine 9, 1072109, 2022 | 18 | 2022 |
| Oii-ds: A benchmark oral implant image dataset for object detection and image classification evaluation Q Nie, C Li, J Yang, Y Yao, H Sun, T Jiang, M Grzegorzek, A Chen, ... Computers in Biology and Medicine 167, 107620, 2023 | 16 | 2023 |
| What can machine vision do for lymphatic histopathology image analysis: a comprehensive review H Chen, X Li, C Li, MM Rahaman, X Li, J Wu, H Sun, M Grzegorzek, X Li Artificial Intelligence Review 57 (3), 71, 2024 | 9* | 2024 |
| A comprehensive comparative study of deep learning methods for noisy sperm image classification: from convolutional neural network to visual transformer A Chen, C Li, M Rahaman, Y Yao, H Chen, H Yang, P Zhao, W Hu, W Liu, ... Intell. Med 10, 2023 | 6 | 2023 |
| Predicting PD-L1 status of esophageal cancer from H&E images based on FusedNet model M Gao, C Li, J Zhang, H Chen, W Hu, H Yang, L Shi, Y Jing, S Tian, H Sun, ... 2023 IEEE International Conference on Big Data (BigData), 4397-4405, 2023 | 2 | 2023 |
| Dvt: Application of deep visual transformer in cervical cell image classification W Liu, C Li, H Sun, W Hu, H Chen, M Grzegorzek International Conference on Information Technologies in Biomedicine, 285-294, 2022 | 2 | 2022 |
| Application of graph-based features in computer-aided diagnosis for histopathological image classification of gastric cancer H Zhang, C Li, S Ai, H Chen, Y Zheng, Y Li, X Li, H Sun, X Huang, ... Digital Medicine 8, 15, 2022 | 2 | 2022 |
| IRUM: An Image Representation and Unified Learning Method for Breast Cancer Diagnosis from Multi-View Ultrasound Images H Chen, Y Li, J Zhang, Q Xu, M Li, Z Li, X Qian, D Shen International Workshop on Machine Learning in Medical Imaging, 22-30, 2024 | | 2024 |
| Image Classification in Breast Histopathology Using Transfer and Ensemble Learning Y Zheng, C Li, X Zhou, H Chen, H Zhang, Y Li, H Sun, M Grzegorzek International Conference on Information Technologies in Biomedicine, 295-306, 2022 | | 2022 |