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Commit aae7d1c1 authored by André Anjos's avatar André Anjos :speech_balloon:
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[doc] Fix citation and wording

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===============================================
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.
binary segmentation tasks on 2D Eye Fundus Images (2DFI). It is build using
PyTorch.
Please use the below BibTeX reference to cite this work::
Please use the BibTeX reference below to cite this work::
@ARTICLE{laibacher_anjos_2019,
author = {{Laibacher}, Tim and {Anjos}, Andr{\'e}},
@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",
year = {2019},
month = {Sep},
url = {https://arxiv.org/abs/1909.03856},
eid = {arXiv:1909.03856},
pages = {arXiv:1909.03856},
archivePrefix = {arXiv},
eprint = {1909.03856}}
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>`
The additional material referred to in the paper can be found under
:ref:`bob.ip.binseg.covdresults` and :download:`here </additionalresults.pdf>`
Users Guide
===========
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