The OVID research project (relevance detection in Ophthalmic surgery VIDeos), funded by the Austrian Science Fund (FWF), will start on October 1st, 2018 and run for three years. Together with research partners from Klinikum Klagenfurt, it will allow three PhD students (and an accompanying student assistant) to investigate challenging new research questions at the intersection of computer science and ophthalmic surgery. In particular, automatic classification and prediction of relevant content in video recordings from ophthalmic surgeries (e.g., operation phases, surgical actions, irregular events and their cause) should be evaluated for the purpose of medical training and retrospective analysis of irregularities. The researchers want to address these goals by using methods from video analysis, video compression, and machine learning (including deep neural networks). An interview summarizing the research goals can be found here (in German): https://www.aau.at/blog/relevante-stellen-in-augenoperationsvideos-maschinell-erkennen/
https://home.wp.itec.aau.at/wp-content/uploads/sites/2/2018/09/Fotolia_211575277_XS.jpg 306 393 martina https://home.wp.itec.aau.at/wp-content/uploads/sites/2/2022/11/ITEC-Webheader-06-1030x94.png martina2018-09-19 12:00:462018-09-26 13:51:19Klaus Schöffmann and Mario Taschwer outline the research goals of their new FWF stand-alone project on relevance detection in ophthalmic surgery videos.