• Corpus ID: 219573852

# W-net: Simultaneous segmentation of multi-anatomical retinal structures using a multi-task deep neural network

@article{Zhao2020WnetSS,
title={W-net: Simultaneous segmentation of multi-anatomical retinal structures using a multi-task deep neural network},
author={Hongwei Zhao and Chengtao Peng and Lei Liu and Bin Li},
journal={ArXiv},
year={2020},
volume={abs/2006.06277}
}
• Published 11 June 2020
• Computer Science
• ArXiv
Segmentation of multiple anatomical structures is of great importance in medical image analysis. In this study, we proposed a $\mathcal{W}$-net to simultaneously segment both the optic disc (OD) and the exudates in retinal images based on the multi-task learning (MTL) scheme. We introduced a class-balanced loss and a multi-task weighted loss to alleviate the imbalanced problem and to improve the robustness and generalization property of the $\mathcal{W}$-net. We demonstrated the effectiveness…

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