@article{deb-nmi-2021,
Author = {D. Bhattacharya and C. Betz and D. Eggert and A. Schlaefer},
Title = {Dual Parallel Reverse Attention Edge Network : DPRA-EdgeNet..},
Journal = {<em>Nordic Machine Intelligence, MedAI2021</em>.},
Year = {(2021).},
Volume = {<strong><strong>1</strong>.</strong>.},
Number = {((1),),},
Pages = {11-13 Second place in challenge task},
Doi = {https://doi.org/10.5617/nmi.9116},
Keywords = {polyp segmentation, attention gates, deep learning, colon cancer, polyp, medical image segmentation},
Abstract = {In this paper, we propose the Dual Parallel Reverse AttentionEdge Network (DPRA-EdgeNet), an architecture that jointlylearns to segment an object and its edges. We compareour model against three popular segmentation models anddemonstrate that our model improves the segmentationaccuracy on the Kvasir-SEG dataset and the Kvasir-Instrumentdataset}
}

@COMMENT{Bibtex file generated on 2026-5-13 with typo3 si_bibtex plugin. Data from https://www.tuhh.de/mtec/publications/2024-2020 }