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This section is outdated and needs re-factoring.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.)

User Guide

Indices and tables