潘林，博士，物理与信息工程学院副教授，硕导，福建省中医药学会精准医学分会委员。长期从事计算机视觉和图像处理相关的研究工作，主持福建省自然科学基金2项，校企合作横向项目3项，参与国家自然科学基金2项（科学仪器专项1项、面上项目1项）、福建省自然基金项目6项（基金重点1项、高校产学研合作2项、科技创新联合资金项目4项）、市科技创新平台和科技成果转化各1项，以第一/通讯作者发表SCI论文13篇，发明专利5项，获2007年福建省科技进步一等奖，2021年福建省科技进步二等奖。
主要研究方向：
图像处理与计算机视觉
招生专业：
学术型硕士：信息与通信工程
专业型硕士：新一代电子信息技术（含量子技术等），集成电路工程
工作经历：
2004-至今 福州大学物理与信息工程学院电子与信息工程系
部分科研项目：
部分出版论文：
1、Pan L, Tang M, Chen X, Du Z, Huang D, Yang M*, Chen Y*. M2UNet: Multi-Scale Feature Acquisition and Multi-Input Edge Supplement Based on UNet for Efficient Segmentation of Breast Tumor in Ultrasound Images[J]. Diagnostics,2025,15(8):944.
2、Pan L, Yan X, Zheng Y, Huang L, Zhang Z, Fu R, Zheng B, Zheng S*. Automatic pulmonary artery-vein separation in CT images using a twin-pipe network and topology reconstruction[J]. PeerJ Computer Science,2023,9:e1537.
3、Pan L, He T, Huang Z, Chen S, Zhang J, Zheng S*, Chen X*. Radiomics approach with deep learning for predicting T4 obstructive colorectal cancer using CT image[J]. Abdominal Radiology,2023,48(4):1246-1259.
4、Lin Pan, Zhaopei Li, Zhiqiang Shen, Zheng Liu, Liqin Huang, Mingjing Yang, Bin Zheng, Taidui Zeng, Shaohua Zheng*,Learning multi-view and centerline topology connectivity information for pulmonary artery–vein separation[J].Computers in Biology and Medicine,2023,155:106669.
5、Pan L, Cai Y, Lin N*, Yang L, Zheng S, Huang L. A two-stage network with prior knowledge guidance for medullary thyroid carcinoma recognition in ultrasound images[J]. Medical Physics. 2022, 49(24):2413-2426.
6、Pan L, Zhang Z, Zheng S*, Huang L. MSC-Net: Multitask Learning Network for Retinal Vessel Segmentation and Centerline Extraction[J]. Applied Sciences,2022,12(1):403.
7、Liqin Huang, Hanyu Zheng, Lin Pan*, Zhipeng Su, Qiang Wu.Codebook Prior-Guided Hybrid Attention Dehazing Network[J].Image and Vision Computing.2025,162:105700
8、Yang M, Wu Z, Zheng H, Huang L, Ding W, Pan L*, Yin L. Cross-Modality Medical Image Segmentation via Enhanced Feature Alignment and Cross Pseudo Supervision Learning[J]. Diagnostics,2024; 14(16):1751.
9、Zheng S, Kong S, Huang Z, Pan L*, Zeng T, Zheng B, Yang M, Liu Z. A Lower False Positive Pulmonary Nodule Detection Approach for Early Lung Cancer Screening[J]. Diagnostics. 2022,12(11):2660.
10、Shaohua Zheng, Zhiqiang Shen, Chenhao Pei, Wangbin Ding, Haojin Lin, Jiepeng Zheng, Lin Pan*, Bin Zheng*, Liqin Huang. Interpretative computer-aided lung cancer diagnosis: From radiology analysis to malignancy evaluation[J].Computer Methods and Programs in Biomedicine[J], 2021,210:106363.
11、Yang, Mingjing,Yingdong Wei,Lin Pan*,Liqin Huang. Exposure consistency for lane detection under varied light conditions[J]. Journal of Electronic Imaging,2022,31(3):030502.
12、Liqin Huang, Leijie Lin, Lin Pan*, Chenhao Pei, Huibin Chen. Region-aware multi-resolution learning for vehicle re-identification using mask. Journal of Electronic Imaging[J], 2020,29(6):063012.
13、Shaohua Zheng,Weiyu Nie,Lin Pan*,Bin Zheng,Zhiqiang Shen,Liqin Huang,Chenhao Pei, Yuhang She,Liuqing Chen.A dual-attention v-network for pulmonary lobe segmentation in ct scans[J]. IET Image Processing, 2021,15(8):1644-1654.
14、Xingtao Lin , Xiahai Zhuang, Lin Pan, Mingjing Yang, Liqin Huang*, Shun Chen*, Lei Li*. ZSG-Net: A Zero-Shot Super-Resolution Guided Network for Ultrasound Image Segmentation and Classification[J].IEEE Journal of Biomedical and Health Informatics, 2025, DOI 10.1109/JBHI.2025.3584505
15、Zhen Zhang, Wen Zhang, Liqin Huang, Lin Pan, Shaohua Zheng*, Zheng Liu, Weisheng Chen*, Penggang Bai. Dual-phase airway segmentation: Enhancing distal bronchial identification with anatomical prior guidance[J]. Engineering Applications of Artificial Intelligence, 2025, 153.DOI:10.1016/j.engappai.2025.110786.
16、Chenhao Pei, Fuping Wu, Mingjing Yang, Lin Pan, Wangbin Ding, Jinwei Dong, Liqin Huang*, Xiahai Zhuang*. Multi-Source Domain Adaptation for Medical Image Segmentation[J]. IEEE Transactions on Medical Imaging, 2024, 43(4):1640-1651.
授权专利：
获奖成果:
