U-Net: Convolutional Networks for Biomedical Image Segmentation

@inproceedings{Ronneberger2015UNetCN,
  title={U-Net: Convolutional Networks for Biomedical Image Segmentation},
  author={O. Ronneberger and P. Fischer and T. Brox},
  booktitle={MICCAI},
  year={2015}
}
  • O. Ronneberger, P. Fischer, T. Brox
  • Published in MICCAI 2015
  • Computer Science
  • There is large consent that successful training of deep networks requires many thousand annotated training samples. [...] Key Method We show that such a network can be trained end-to-end from very few images and outperforms the prior best method (a sliding-window convolutional network) on the ISBI challenge for segmentation of neuronal structures in electron microscopic stacks. Using the same network trained on transmitted light microscopy images (phase contrast and DIC) we won the ISBI cell tracking challenge…Expand Abstract
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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 17 REFERENCES
    Very Deep Convolutional Networks for Large-Scale Image Recognition
    • 39,035
    • Open Access
    ImageNet classification with deep convolutional neural networks
    • 51,810
    • Open Access
    ImageNet Classification with Deep Convolutional Neural Networks
    • 51,810
    • Open Access
    Fully Convolutional Networks for Semantic Segmentation
    • 7,138
    • Highly Influential
    • Open Access
    Caffe: Convolutional Architecture for Fast Feature Embedding
    • 12,064
    • Highly Influential
    • Open Access
    Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images
    • 952
    • Open Access
    Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
    • 7,931
    • Open Access
    Hypercolumns for object segmentation and fine-grained localization
    • 1,116
    • Open Access