معرفی
Assoc. Prof. Dr. Şeyma TOY is a faculty member at the Faculty of Medicine, specializing in Anatomy. Her work bridges traditional anatomical research with modern machine learning techniques.
- Research Interests: Morphometric analysis of organs, age/sex prediction via imaging, machine learning in medical diagnostics, and microbiological safety in anatomy labs.
- Key Themes: Applications of computed tomography (CT), X-ray, and magnetic resonance imaging (MRI) to study anatomical variations; integration of artificial neural networks for biometric classification; forensic anatomy and clinical correlations like hormone-disease relationships.
- Article Trends: Focus on sexual dimorphism, organ morphology, and machine learning-driven biomarkers across diverse anatomical regions (craniofacial, cervical spine, teeth, orbit, etc.).
- Labs/Teams: Collaborates on multidisciplinary studies involving radiology, neurology, and forensic science, with emphasis on cross-country comparative analyses.
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