no code implementations • 10 Apr 2024 • Bjørn Leth Møller, Bobby Zhao Sheng Lo, Johan Burisch, Flemming Bendtsen, Ida Vind, Bulat Ibragimov, Christian Igel
We propose using a machine-learning based MES classification system to support the endoscopic process and to mitigate the observer-variability.