| The clothing image classification algorithm based on the improved Xception model Z Tan, Y Hu, D Luo, M Hu, K Liu International Journal of Computational Science and Engineering 23 (3), 214-223, 2020 | 38 | 2020 |
| Research on borrower's credit classification of P2P network loan based on LightGBM algorithm S Zhang, Y Hu, Z Tan International Journal of Embedded Systems 11 (5), 602-612, 2019 | 12 | 2019 |
| Semi-supervised semantic segmentation methods for UW-OCTA diabetic retinopathy grade assessment Z Tan, H Madzin, Z Ding MICCAI Challenge on Mitosis Domain Generalization, 97-117, 2022 | 7 | 2022 |
| SwinUNeLCsT: Global–local spatial representation learning with hybrid CNN–transformer for efficient tuberculosis lung cavity weakly supervised semantic segmentation Z Tan, H Madzin, B Norafida, RWOK Rahmat, F Khalid, PS Sulaiman Journal of King Saud University-Computer and Information Sciences 36 (4), 102012, 2024 | 5 | 2024 |
| Image Quality Assessment Based on Multi-model Ensemble Class-Imbalance Repair Algorithm for Diabetic Retinopathy UW-OCTA Images Z Tan, H Madzin, Z Ding MICCAI Challenge on Mitosis Domain Generalization, 118-126, 2022 | 4 | 2022 |
| DeepPulmoTB: A benchmark dataset for multi-task learning of tuberculosis lesions in lung computerized tomography (CT) Z Tan, H Madzin, B Norafida, Y ChongShuang, W Sun, T Nie, F Cai Heliyon 10 (4), 2024 | 3 | 2024 |
| SwinUNeCCt: bidirectional hash-based agent transformer for cervical cancer MRI image multi-task learning C Yang, Z Tan, YJ Wang, R Bi, T Shi, J Yang, C Huang, P Jiang, X Fu Scientific Reports 14 (1), 24621, 2024 | | 2024 |
| SwinUNeCCt: Bidirectional Hash-based Agent Transformer for Cervical Cancer MRI Image Multi-task Learning Y Chongshuang, S Tianliang, F Xiangyang, Z Tan | | 2024 |
| Segmentation of Pulmonary Cavity in Lung CT Scan for Tuberculosis Disease Z Tan, H Madzin, F Khalid, NS Beng Journal of Advanced Research in Applied Sciences and Engineering Technology …, 2023 | | 2023 |
| Segmentation of Pulmonary Cavity in Lung CT Scan for Tuberculosis Z Tan, H Madzin, F Khalid, NS Beng | | |
