TUBITAK support for the Project Executed by Medical Engineering 4th Year Student Nagme Renkli

Conducted at the biomedical image research and Development Center of our university, the “Machine Learning Methods For Multi-Modal Data Determination From Magnetic Resonance Imaging Of Glioma Heterogeneity” titled project in which Nagme Renkli who is a 4th year student at Faculty of Engineering, in the department of Medical engineering takes part as an executive director, an done of the faculty members of Vocational School, the department of Biomedical Device Technology Program Prof. Dr. Alpay Ozcan takes part as an advisor, has been supported by TUBITAK 2209-A University Students Research Projects Support Program.

We congratulate our student and her advisor and wish her continued success.