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  • References

    References for task 3:
     

    Reference

    Schedule

    CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation

    PM-Net: Pyramid Multi-label Network for Joint Optic Disc and Cup Segmentation

    Retinal Abnormalities Recognition Using Regional Multitask Learning

    Unifying Structure Analysis and Surrogate-Driven Function Regression for Glaucoma OCT Image Screening

    Boundary and Entropy-Driven Adversarial Learning for Fundus Image Segmentation

    Joint optic disc and cup segmentation based on multi-label deep network and polar transformation

    Patch-based output space adversarial learning for joint optic disc and cup segmentation

    PM-Net: Pyramid Multi-label Network for Joint Optic Disc and Cup Segmentation

    Optic disc and optic cup segmentation methodologies for glaucoma image detection: a survey

    Optic disc segmentation from retinal fundus images via deep object detection networks

    Pathology-Aware Deep Network Visualization and Its Application in Glaucoma Image Synthesis(合成)

    ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation

    Patch-based output space adversarial learning for joint optic disc and cup segmentation

    Stack-u-net: refinement network for image segmentation on the example of optic disc and cup

    Attention Guided Network for Retinal Image Segmentation

     
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  • 原文地址:https://www.cnblogs.com/ylHe/p/13346483.html
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