Deep Heros, a team representing Multimedia University (MMU) emerged as champion in a Challenge Session at IEEE Signal Processing conference, IEEE International Conference on Image Processing (ICIP 2020) recently. The team, consist of Nouar AlDahoul, a researcher under supervision of Associate Prof. Ir. Dr Hezerul Abdul Karim and Associate Prof. Dr Mohammad Faizal Ahmad Fauzi, and Mhd Adel Momou. The conference, which was held virtually in Abu Dhabi, United Arab Emirates (UAE) witnessed our team outperformed other finalist teams from Algeria, Finland, France, and Bangladesh in the Challenge.
The challenge session topic was “On Real-time Distortion Classification in Laparoscopic Videos”. Laparoscopy, also known as diagnostic laparoscopy, is a surgical diagnostic procedure used to examine the organs inside the abdomen with the aid of camera. Laparoscopic videos from the camera may be affected by different kinds of distortions during the surgery, resulting in a loss of visual quality. The purpose of this challenge was to develop a fast, unified, and effective algorithm for real-time classification of distortions within a laparoscopic video.
Congratulations Deep Heros!
