本人陳靈娜，2003网站太阳集团教授，碩導，中南大學博士和博士後，澳大利亞卧龍崗大學公派訪學，主要研究方向為人工智能和圖像處理。從事《數字圖像處理》、《機器視覺與圖像處理》、以及《操作系統原理》等專業課程教學工作，是國家級一流本科課程《平面圖像處理--PS高手》的課程團隊主要成員。主持國家自然科學青年基金課題1項，湖南省自然科學基金課題4項，湖南省教育廳課題1項，在國際刊物上發表SCI論文30餘篇。

近三年發表的SCI學術論文：

[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)

近三年的科研課題：

[1] 數據和知識雙驅動的卵泡分割及卵巢低反應不孕患者妊娠結局預測，湖南省自然科學聯合基金項目(2024JJ7429)，5萬，2024-2026，主持，在研。

[2] 基于二硫化钼異質結的輸運性質研究，湖南省自然科學面上基金項目(2020JJ4514)，5萬，2020-2023，主持。  

[3] 基于平均教師半監督和對比學習的CT 新冠圖像分割及預測模型研究，新疆自治州自然基金面上項目(2022D01C461)，2022-2025, 10萬元，第二參與。