本人陈灵娜，南华大学计算机学院教授，硕导，中南大学博士和博士后，澳大利亚卧龙岗大学公派访学，主要研究方向为人工智能和图像处理。从事《数字图像处理》、《机器视觉与图像处理》、以及《操作系统原理》等专业课程教学工作，是国家级一流本科课程《平面图像处理--PS高手》的课程团队主要成员。主持国家自然科学青年基金课题1项，湖南省自然科学基金课题4项，湖南省教育厅课题1项，在国际刊物上发表SCI论文30余篇。

近三年发表的SCI学术论文：

[1] Wenhao Zhu, Jiya Tian, Mingzhi Chen, Lingna Chen*, Junxi Chen. MSS-UNet: A multi-spatial-shift MLP-based UNet for skin lesion segmentation. Computers in Biology and Medicine, 168: 107719, 2024. (SCI)

[2] Haojun Yuan, Lingna Chen*, Xiaofeng He. MMUNet:Morphological feature enhancement network for colon cancer segmentation in pathological images. Biomedical Signal Processing and Control, 91: 105927, 2024.(SCI)

[3] Guidi Lin, Mingzhi Chen, Minsheng Tan, Lingna Chen*, Junxi Chen. A dual-stage transformer and MLP-based network for breast ultrasound image segmentation.Biocybernetics and Biomedical Engineering, 43: 656-671, 2023.

[4] Xuping Huang, Qian Wang, Junxi Chen, Lingna Chen*, Zhiyi Chen.Effective hybrid attention network based on pseudo-color enhancement in ultrasound image segmentation. Image and Vision Computing,137:104742, 2023. (SCI)

[5] Xuping Huang, Junxi Chen, Mingzhi Chen , Yaping Wan , Lingna Chen *. FRE-Net: Full-region enhanced network for nuclei segmentation in histopathology images. Biocybernetics and Biomedical Engineering, 43:386-401, 2023. (SCI)

[6] Zhifang Hong, Mingzhi Chen, Weijie Hu, Shiyu Yan, Aiping Qu, Lingna Chen *, Junxi Chen. Dual encoder network with transformer-CNN for multi-organ segmentation. Medical & Biological Engineering & Computing, 61: 661-671, 2023.(SCI)

[7] Xiaosu Yang, Jiya Tian, Yaping Wan, Mingzhi Chen, Lingna Chen*, Junxi Chen. Semi-supervised medical image segmentation via cross-guidance and feature-level consistency dual regularization schemes.Medical Physics, 50: 4269-4281, 2023.(SCI)

[8] Qing Wang, Xiang Li, Mingzhi Chen, Lingna Chen*, and Junxi Chen. A regularization-driven mean teacher model based on semi-supervised learning for medical image segmentation. Physics in Medicine & Biology, 67:175010, 2022.(SCI)

[9] Xuping Huang, Junxi Chen, Mingzhi Chen, Lingna Chen*, Yaping Wan. TDD-UNet:Transformer with double decoder UNet for COVID-19 lesions segmentation. Computers in Biology and Medicine, 151:106306, 2022. (SCI)

近三年的科研课题：

[1] 数据和知识双驱动的卵泡分割及卵巢低反应不孕患者妊娠结局预测，湖南省自然科学联合基金项目(2024JJ7429)，5万，2024-2026，主持，在研。

[2] 基于二硫化钼异质结的输运性质研究，湖南省自然科学面上基金项目(2020JJ4514)，5万，2020-2023，主持。  

[3] 基于平均教师半监督和对比学习的CT 新冠图像分割及预测模型研究，新疆自治州自然基金面上项目(2022D01C461)，2022-2025, 10万元，第二参与。