Research

Computer Science Artificial Intelligence

Computer Science, Artificial Intelligence covers resources that focus on research and techniques to create machines that attempt to efficiently reason, problem-solve, use knowledge representation, and perform analysis of contradictory or ambiguous information. This category includes resources on artificial intelligence technologies such as expert systems, fuzzy systems, natural language processing, speech recognition, pattern recognition, computer vision, decision-support systems, knowledge bases, and neural networks.

Engineering Computing & Technology (Eng)

Research Areas

YTU Vision Group is a multidisciplinary research community specialized in computer vision and deep learning. It brings together researchers from various disciplines such as computer engineering, biomedical engineering, medicine, and statistics.
Our areas of expertise cover a wide range of AI-powered solutions in healthcare:

  • Radiological Image Processing: Advanced analysis of CT, MRI, and X-ray scans for the automated detection of nodules, lesions, and other abnormalities.

  • Digital Pathology: AI-based segmentation of tumor regions and cellular structures to enhance pathology workflows and improve diagnostic precision.

  • Clinical Decision Support Systems: Development of intelligent models for the analysis of clinical data to assist healthcare professionals in decision-making and to improve patient outcomes.