Binary Segmentation Benchmark Package#

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

Please at least use the BibTeX references below to cite this work:

@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_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},
}

User Guide#

Indices and tables#