Out-of-Distribution Detection in Gastrointestinal Vision by Estimating Nearest Centroid Distance Deficit

Sandesh Pokhrel, Sanjay Bhandari, Sharib Ali, Tryphon Lambrou, Anh Nguyen, Yash Raj Shrestha, Angus Watson, Danail Stoyanov, Prashnna K. Gyawali, Binod Bhattarai

Abstract: The integration of deep learning tools in gastrointestinal vision holds the potential for significant advancements in diagnosis, treatment, and overall patient care. A major challenge, however, is overconfident predictions, even when encountering unseen or newly emerging disease patterns, which undermines the reliability of such tools. We address this critical issue of reliability in gastrointestinal vision through the lens of out-of-distribution (OOD) detection, which handles previously unseen or emerging diseases as OOD samples.

External IDs:dblp:conf/miua/PokhrelBALNSWSGB25