研究方向：医学影像处理、计算机视觉、弱监督语义分割

办公邮箱：zytan@gpnu.edu.cn

个人简介：

谭卓毅，博士，广东技术师范大学数据科学与工程学院专任教师。主要从事人工智能与医学影像交叉领域研究。以第一作者/通讯作者身份，发表SCI/EI论文6篇。

教育背景：马来西亚博特拉大学博士学位，计算机视觉专业

主讲课程：人工智能

代表性论文:

* indicates the corresponding author.

indicates co-first author.

[1] Tan, Z., Madzin, H.*, Norafida, B., Rahmat, R. W. O., Khalid, F., & Sulaiman, P. S. (2024). SwinUNeLCsT: Global-local spatial representation learning with hybrid CNN-transformer for efficient tuberculosis lung cavity weakly supervised semantic segmentation. Journal of King Saud University-Computer and Information Sciences, 102012.【JCR Q1，中科院二区】

[2] Tan, Z., Madzin, H.*, & Ding, Z. (2023). Semi-supervised Semantic Segmentation Methods for UW-OCTA Diabetic Retinopathy Grade Assessment.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 25th International Conference on Medical Image Computing and Computer-Assisted Intervention , MICCAI 2022, September 18, 2022 - September 22, 2022, Singapore, Singapore.【CCF推荐B类会议、医学影像顶级会议】

[3] Tan, Z., Madzin, H.*, & Ding, Z. (2023). Image Quality Assessment Based on Multi-model Ensemble Class-Imbalance Repair Algorithm for Diabetic Retinopathy UW-OCTA Images.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 25th International Conference on Medical Image Computing and Computer-Assisted Intervention , MICCAI 2022, September 18, 2022 - September 22, 2022, Singapore, Singapore. 【CCF推荐B类会议、医学影像顶级会议】

[4] Yang, Chongshuang, Tan, Zhuoyi *, Wang, YiJie, Bi, Ran, Shi, Tianliang, Yang, Jing, Huang, Chao, Jiang, Peng, Fu, Xiangyang. SwinUNeCCt: bidirectional hash-based agent transformer for cervical cancer MRI image multi-task learning.  Scientific Reports, Springer Science and Business Media LLC, 2024, 14(1) 【JCR Q1，中科院二区】

[5] Tan, Z., Madzin, H.*, Norafida, B., ChongShuang, Y., Sun,W.,Nie,T., & Cai,F. (2024). DeepPulmoTB: A benchmark dataset for multi-task learning of tuberculosis lesions in lung computerized tomography (CT). Heliyon. 【JCR Q1,中科院三区】

[6] Tan, Z. , Hu, Y*. , Liu, K. , Luo, D., & Hu, M.. (2020). The clothing image classification algorithm based on the improved xception model. International Journal of Computational Science and Engineering,23(3), 214. 【中科院四区】

学术服务：

受邀并参与多个国际高水平学术期刊审稿工作，包括 knowledge-based systems、Artificial Intelligence Review、BioData Mining、Multimedia Systems。