Tuğba Kütükçü, a Biomedical Engineering student from Yıldız Technical University, successfully completed her summer internship at the Computational Modeling and Simulation Lab, Istanbul Technical University, under the mentorship of Hacer Duzman. The internship focused on medical image segmentation methods, emphasizing understanding and comparing manual, semi-automatic, and fully automatic approaches, providing hands-on experience in cardiovascular image analysis and advanced segmentation techniques.
Tuğba Kütükçü, a Biomedical Engineering student from Yıldız Technical University, successfully completed her summer internship at the Computational Modeling and Simulation Lab, Istanbul Technical University, under the mentorship of Hacer Duzman. The internship focused on medical image segmentation methods, emphasizing understanding and comparing manual, semi-automatic, and fully automatic approaches, providing hands-on experience in cardiovascular image analysis and advanced segmentation techniques.
During the internship, Tuğba applied semi-automatic and manual segmentation using the open-source software 3D Slicer, and extended her research to AI-based cardiovascular segmentation methods. She reviewed recent advances in deep learning (DL)-based approaches, particularly convolutional neural networks, which have demonstrated significant improvements in accuracy, efficiency, and reproducibility compared to traditional methods. These developments highlight the importance of AI in transforming cardiovascular imaging and offer valuable insights for future clinical applications.
Congratulations to Tuğba on this achievement, with best wishes for continued success in academic and professional endeavors.