Mr. Prince Ebenezer Adjei

Lecturer


Dept: Computer Engineering
College of Engineering, Caeser Block, Room 423

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Research Areas/Interests

My major research interest is in the application of artificial intelligence specifically; machine learning and pattern recognition, deep learning and ...~more

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Publications

    Journal Articles:

    • Adjei, P.E., Lonseko, Z.M., Du, W. et al. Examining the effect of synthetic data augmentation in polyp detection and segmentation. Int J CARS (2022). https://doi.org/10.1007/s11548-022-02651-x

    • Prince E Adjei, Henry Nunoo-Mensah, Richard Amedzrovi Agbesi, Joyce Raissa Yaho Ndjanzoue “Brain Tumor segmentation using SLIC superpixels and Optimized thresholding algorithm, “International Journal of Computer Applications” 181(20):1- 5, October 2018. https://doi.org/10.5120/ijca2018917915 

    • Z.M Lonseko, Adjei P.E, Wu. D. et al., "Gastrointestinal Disease Classification in Endoscopic Images Using Attention-Guided Convolutional Neural Networks," Applied Sciences 11(23) 11136, Nov 2021 https://doi.org/10.3390/app112311136

    Conferences:

    • Prince E Adjei, Henry Nunoo-Mensah, Emmanuel Kobia-Acquah, Emmanuel Kofi Akowuah, “Optic cup and Optic Disc Analysis for Glaucoma screening using Pulse- Coupled Neural Networks and Line profile analysis,” in Middle East Conference on Biomedical Engineering (MECBME), Tunis, 2018. 
      https://doi.org/10.1109/ MECBME.2018.8402434  

    • Adjei PE, Z. M. Lonseko and N. Rao, "GAN-Based Synthetic Gastrointestinal Image Generation," 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2020, pp. 338-342, https://doi.org/10.1109/ICCWAMTIP51612.2020.9317341 
       
    • Z. M. Lonseko, P.E. Adjei, Wenju D., et al., "Semi-supervised Gastrointestinal Lesion Segmentation using Adversarial Learning," 2021 IEEE 3rd Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS), 2021, pp. 63-66, https://doi.org/10.1109/ECBIOS51820.2021.9510611 



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