Field of Research

DS-MED LAB is a research group focused on Data Science and Biomedical Systems. We specialize in Medical Image Processing, AI Applications, ML/DL Model Optimization, and Multimodal Model Development. Our mission is to advance intelligent healthcare solutions through cutting-edge research, integrating data-driven technologies to enhance medical diagnostics and decision-making systems.

Medical Image Processing

DS-MED LAB focuses on Medical Image Processing, working with diverse imaging modalities including ECG, X-ray, CT, MRI, PET scans, ultrasound, thermal imaging, and biopsy images. The group aims to enhance diagnostic accuracy through advanced image analysis and AI-driven techniques across various medical domains.

AI Applications

DS-MED LAB applies AI techniques to support medical diagnosis across multiple anatomical regions, including the brain, chest, abdomen, bones, joints, kidneys, fetus, and blood vessels. The research focuses on developing intelligent systems that assist clinicians in detecting, classifying, and predicting diseases with greater accuracy and efficiency.

ML/DL Model Optimization

DS-MED LAB conducts research on optimizing machine learning and deep learning models using evolutionary and stochastic algorithms. The goal is to enhance model performance, reduce computational costs, and enable efficient deployment in real-world medical applications, especially on resource-constrained devices.

Multimodal Model Development

DS-MED LAB develops multimodal learning models that combine medical images with clinical text to enable intelligent question answering and diagnostic reasoning. This field of research aims to build advanced systems that understand and interpret complex medical data across different modalities for more accurate and context-aware clinical decision support.

Page updated

Google Sites

Report abuse