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Binary Segmentation Benchmark Package for Bob

Project description

https://img.shields.io/badge/docs-v1.4.0-orange.svg https://gitlab.idiap.ch/bob/bob.ip.binseg/badges/v1.4.0/pipeline.svg https://gitlab.idiap.ch/bob/bob.ip.binseg/badges/v1.4.0/coverage.svg https://img.shields.io/badge/gitlab-project-0000c0.svg

Binary Segmentation Benchmark Package for Bob

Package to benchmark and evaluate a range of neural network architectures for binary segmentation tasks. It is build using PyTorch.

Installation

Complete bob’s installation instructions. Then, to install this package, run:

$ conda install bob.ip.binseg

Citation

If you use this software package in a publication, we would appreciate if you could cite one or both of these references:

@inproceedings{renzo_2021,
    title     = {Development of a lung segmentation algorithm for analog imaged chest X-Ray: preliminary results},
    author    = {Matheus A. Renzo and Nat\'{a}lia Fernandez and Andr\'e Baceti and Natanael Nunes de Moura Junior and Andr\'e Anjos},
    month     = {10},
    booktitle = {XV Brazilian Congress on Computational Intelligence},
    year      = {2021},
    url       = {https://publications.idiap.ch/index.php/publications/show/4649},
}

@misc{laibacher_anjos_2019,
   title         = {On the Evaluation and Real-World Usage Scenarios of Deep Vessel Segmentation for Retinography},
   author        = {Tim Laibacher and Andr\'e Anjos},
   year          = {2019},
   eprint        = {1909.03856},
   archivePrefix = {arXiv},
   primaryClass  = {cs.CV},
   url           = {https://arxiv.org/abs/1909.03856},
}

Contact

For questions or reporting issues to this software package, contact our development mailing list.

Project details


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Files for bob.ip.binseg, version 1.4.0
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