Prince Ebenezer Adjei
The researcher's work spans a comprehensive exploration of diverse research areas, encompassing health sciences, social sciences, physical sciences, and more. Their primary focus is on developing and applying advanced imaging and computational techniques across various domains, including medical device segmentation, image classification methods, and AI-driven approaches in cancer detection. The researcher's work reflects a deep commitment to innovative solutions that bridge healthcare, social issues, and the arts (media), demonstrating a broad and interdisciplinary approach to understanding complex phenomena through cutting-edge research.
Faculty Biography
Prince Ebenezer Adjei is an Engineer and a lecturer in the department of computer engineering, KNUST. He is the head of the biomedical division for connected devices (CoDe) Lab, a research lab within the department of computer engineering. He had his BSc in Biomedical Engineering, MSc in Biometrics from Paris 12 Val de Marne University, Paris and MPhil in Computer Engineering from KNUST. Professionally, Prince has undertaken consultancy services for the purchase, installation and maintenance of several types of medical equipment including for ICU and ophthalmology applications. Prince has trained several clinicians in the use of oxygen therapy equipment, surgical microscopes and therapeutic lasers.He is interested in research covering artificial intelligence; specifically in machine learning and deep learning applications in ophthalmology, and recently in gastroenterology. He has researched outputs and presentations at both local and international conferences. Prince has taught several undergraduate courses from 2016 - 2019. Currently, he is completing his PhD at the University of Electronic Science and Technology in China. His current research interest is about the utility of synthetic data in the context of deep learning for prognostication, diagnosis and therapy of colon cancer.
Acute Ischemic Stroke Management
Advanced Breast Cancer Therapies
AI in cancer detection
Cancer Immunotherapy and Biomarkers
Colorectal Cancer Screening and Detection
Cultural Industries and Urban Development
Esophageal Cancer Research and Treatment
Gastric Cancer Management and Outcomes
Generative Adversarial Networks and Image Synthesis
Glaucoma and retinal disorders
Image Retrieval and Classification Techniques
Intellectual Capital and Performance Analysis
Mechanical Failure Analysis and Simulation
Media and Digital Communication
Ophthalmology and Visual Impairment Studies
Radiomics and Machine Learning in Medical Imaging
Vehicle Noise and Vibration Control
Diversity in Stable GANs: A Systematic Review of Mode Collapse Mitigation Strategies
Open AccessDeep learning for efficient high-resolution image processing: A systematic review
Open AccessWavelet‐Based Feature Extraction for Efficient High‐Resolution Image Classification
Open AccessExamining the relationship between human resource management practices and employee creativity: the mediating role of organizational learning capability
Automated Segmentation of Ischemic Stroke Lesions in Non-contrast Computed Tomography Images for Enhanced Treatment and Prognosis
Towards non-invasive biomarkers in colorectal cancer management: A study on integrating radiomics and deep learning-based image processing for tumor-stroma interaction
Cost-Effectiveness Analysis of Myopia Progression Interventions in Children
Open AccessEarly esophagus cancer segmentation from gastrointestinal endoscopic images based on U-Net++ model
Open AccessEarly gastric cancer segmentation in gastroscopic images using a co-spatial attention and channel attention based triple-branch ResUnet
Semi-Supervised Segmentation Framework for Gastrointestinal Lesion Diagnosis in Endoscopic Images
Open AccessSupervised contrastive learning for gastrointestinal lesions classification in endoscopic images
A study on endoscopy artefact detection based on deep learning
Open AccessA study on endoscopy artefact detection based on deep learning
Open AccessExamining the effect of synthetic data augmentation in polyp detection and segmentation
Gastrointestinal Disease Classification in Endoscopic Images Using Attention-Guided Convolutional Neural Networks
Open AccessDetection of Cracks in Crankshaft Using an Intelligent Audible Sound-Based Non-Destructive Method
Semi-supervised Gastrointestinal Lesion Segmentation using Adversarial Learning
GAN-Based Synthetic Gastrointestinal Image Generation
Normal Crankshaft
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Open AccessOptic cup and optic disc analysis for glaucoma screening using pulse-coupled neural networks and line profile analysis
Department of Computer Engineering
Kwame Nkrumah University of Science and Technology