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  1. Article

    Open Access

    Swin-LBP: a competitive feature engineering model for urine sediment classification

    Automated urine sediment analysis has become an essential part of diagnosing, monitoring, and treating various diseases that affect the urinary tract and kidneys. However, manual analysis of urine sediment is ...

    Mehmet Erten, Prabal Datta Barua, Ilknur Tuncer in Neural Computing and Applications (2023)

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    Article

    Automated Urine Cell Image Classification Model Using Chaotic Mixer Deep Feature Extraction

    Microscopic examination of urinary sediments is a common laboratory procedure. Automated image-based classification of urinary sediments can reduce analysis time and costs. Inspired by cryptographic mixing pro...

    Mehmet Erten, Ilknur Tuncer, Prabal D. Barua, Kubra Yildirim in Journal of Digital Imaging (2023)

  3. Article

    Novel favipiravir pattern-based learning model for automated detection of specific language impairment disorder using vowels

    Specific language impairment (SLI) is one of the most common diseases in children, and early diagnosis can help to obtain better timely therapy economically. It is difficult and time-consuming for clinicians t...

    Prabal Datta Barua, Emrah Aydemir, Sengul Dogan in Neural Computing and Applications (2023)