index.rst

Binary Segmentation Benchmark Package for Bob

Package to benchmark and evaluate a range of neural network architectures for binary segmentation tasks on 2D Eye Fundus Images (2DFI). It is build using PyTorch.

Please use the below BibTeX reference to cite this work:

@ARTICLE{laibacher_anjos_2019,
      author = {{Laibacher}, Tim and {Anjos}, Andr{\'e}},
      title = "{On the Evaluation and Real-World Usage Scenarios of Deep Vessel Segmentation for Funduscopy}",
      journal = {arXiv e-prints},
      keywords = {Computer Science - Computer Vision and Pattern Recognition},
      year = "2019",
      month = "Sep",
      url = {https://arxiv.org/abs/1909.03856},
      eid = {arXiv:1909.03856},
      pages = {arXiv:1909.03856},
      archivePrefix = {arXiv},
      eprint = {1909.03856}}

Additional Material

The additional material referred to in the paper can be found under :ref:`bob.ip.binseg.covdresults` and :download:`here </additionalresults.pdf>`

Users Guide