  Segmentation of findings in the gastrointestinal tract is a challenging but
also an important task which is an important building stone for sufficient
automatic decision support systems. In this work, we present our solution for
the Medico 2020 task, which focused on the problem of colon polyp segmentation.
We present our simple but efficient idea of using an augmentation method that
uses grids in a pyramid-like manner (large to small) for segmentation. Our
results show that the proposed methods work as indented and can also lead to
comparable results when competing with other methods.
