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

Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus