Success of FENS PhD Student: Süheyla Çetin

The algorithm of our PhD student Suheyla Cetin from the CS program, took the top place at the Challenge  "Rotterdam Coronary Artery Stenoses Detection and Quantification Evaluation Framework"  in the Stenoses Detection category with the average ranking evaluation.

This challenge attracts the state-of-the-art algorithms from all over the world to compete in detecting stenoses of coronary arteries using Computed Tomography Angiography volumes.

The results are published on the website of the challenge: http://coronary.bigr.nl/stenoses/results/results.php?type=testing&subs=public&sinfo=no&vendor=all , also, in the Medical Image Analysis journal: http://www.sciencedirect.com/science/article/pii/S1361841513000819#

Faculty of Engineering and Natural Sciences