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 BibTeX reference below to cite this work:
@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},
}
Additional Material¶
The additional material referred to in the paper can be found under
Results and here
Todo
This section is outdated and needs re-factoring.
(The original entry is located in /scratch/builds/bob/bob.ip.binseg/doc/results/old/index.rst, line 5.)