The main contributions are 1) redefining the polyp segmentation task as an out-of-distribution detection problem; 2) learning a distribution for healthy samples using a masked autoencoder ...

Over the past decade, advancements in machine learning (ML) and deep learning (DL) have revolutionized segmentation accuracy.