• Fused 3-Stage Image Segmentation for Pleural Effusion Cell Clusters 

      Ma, Sike; Zhao, Meng; Wang, Hao; Shi, Fan; Sun, Xuguo; Chen, Shengyong; Dai, Hong-Ning (Chapter, 2021)
      The appearance of tumor cell clusters in pleural effusion is usually a vital sign of cancer metastasis. Segmentation, as an indispensable basis, is of crucial importance for diagnosing, chemical treatment, and prognosis ...
    • SEENS: Nuclei segmentation in Pap smear images with selective edge enhancement 

      Zhao, Meng; Wang, Hao; Han, Ying; Wang, Xiaokang; Dai, Hong-Ning; Sun, Xuguo; Zhang, Jin; Pedersen, Marius (Peer reviewed; Journal article, 2020)
      Accurate nuclei segmentation, as an indispensable basis and core link for multi-cell cervical image analysis, plays an important role in automatic pre-cancer detection. However, poor image quality due to the uneven staining, ...
    • Semi-supervised Network for Detection of COVID-19 in Chest CT Scans 

      Mohammed, Ahmed Kedir; Wang, Congcong; Zhao, Meng; Ullah, Mohib; Naseem, Rabia; Wang, Hao; Pedersen, Marius; Alaya Cheikh, Faouzi (Peer reviewed; Journal article, 2020)
      Deep Learning-based chest Computed Tomography (CT) analysis has been proven to be effective and efficient for COVID-19 diagnosis. Existing deep learning approaches heavily rely on large labeled data sets, which are difficult ...
    • Temporal Attention Convolutional Neural Network for Estimation of Icing Probability on Wind Turbine Blades 

      Cheng, Xu; Shi, Fan; Zhao, Meng; Li, Guoyuan; Zhang, Houxiang; Chen, Shengyong (Peer reviewed; Journal article, 2021)
      Wind farms are usually located in high-latitude areas, which increases produced energy but creates a high risk of icing. Traditional methods of anti-blade-icing are limited by the extra cost and the potential damages to ...