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},
}