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  1. No Access

    Article

    A state-of-the-art survey of U-Net in microscopic image analysis: from simple usage to structure mortification

    Microscopic image analysis technology helps solve the inadvertences of artificial traditional methods in disease, wastewater treatment, and environmental change monitoring analysis. Convolutional neural networ...

    Jian Wu, Wanli Liu, Chen Li, Tao Jiang in Neural Computing and Applications (2024)

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    Chapter and Conference Paper

    PBCI-DS: A Benchmark Peripheral Blood Cell Image Dataset for Object Detection

    Blood testing has always been one of the important methods for disease diagnosis, but currently, blood testing instruments face the problems of long time consumption, complex processes, and limited detection t...

    Shuyao You, Mingshi Li, Wanli Liu, Hongzan Sun in Advanced Data Mining and Applications (2023)

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    Chapter and Conference Paper

    LFD-CD: Peripheral Blood Cells Detection Using a Lightweight Cell Detection Model with Full-Connection and Dropconnect

    Blood testing is an important basis for the diagnosis of many diseases. However, the accuracy of detection instruments in hospitals is often not high, and manual detection of blood samples is sometimes necessa...

    Mingshi Li, Shuyao You, Wanli Liu, Hongzan Sun in Advanced Data Mining and Applications (2023)

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    Article

    Undersampled face recognition based on virtual samples and representation classification

    Classifiers such as sparse representation or collaborative representation can get good performance in face recognition. But these methods require a number of train samples in each class to construct the dictio...

    Jun Yang, Yanli Liu in Neural Computing and Applications (2019)

  5. No Access

    Chapter and Conference Paper

    Nonparametric Discriminant Analysis Based on the Trace Ratio Criterion

    Feature extraction is a hot topic in machine learning and pattern recognition. This paper proposes a new nonparametric linear feature extraction method called nonparametric discriminant analysis based on the t...

    ** Liu, Qianqian Ge, Yanli Liu, **g Dai in Intelligence Science and Big Data Engineer… (2015)