A groundbreaking project from Ondokuz Mayıs University (OMU), led by Ayhan Aydın – a staff member of the Student Affairs Department and a doctoral student – has been included in the Scientific and Technological Research Council of Turkey's (TÜBİTAK) 1002-A Support Program. Aydın’s doctoral thesis in the field of engineering focuses on "Detection and Classification of Cancer in Bone Tissue Using Deep Learning Approaches."

The project, steered by Dr. Caner Özcan, a Software Engineering Department faculty member at Karabük University's Faculty of Engineering, also includes collaboration with two experts from OMÜ’s Faculty of Medicine. Prof. Dr. Ferhat Say, an Orthopedics and Traumatology expert, joins as a researcher, while Dr. Şafak Aydın participates as a scholar.

Project to be Completed in 12 Months

This innovative project aims to detect and classify bone cancer using direct radiography (X-ray) images, aided by advanced intelligent software. Following data collection and analysis, the development of this software is expected to be completed within a year.

This initiative represents a significant step forward in cancer research, utilizing cutting-edge technology to improve early detection and classification, ultimately aiming to enhance patient outcomes in oncology.