This library is an implementation and extension of the flood-filling network
algorithm first described in [Januszewski2016] and network architectures in
[He2016] and [Ronneberger2015].
This library is built on the wonderful
Keras library by François Chollet and
TensorFlow.
Skeletonization uses the skeletopyze
library by Jan Funke, which is an implementation of [Sato2000] and
[Bitter2002].
Diluvian uses a packaging and build harness
cookiecutter template.
| [Januszewski2016] | Michał Januszewski, Jeremy Maitin-Shepard, Peter Li, Jorgen Kornfeld,
Winfried Denk, and Viren Jain.
Flood-filling networks. arXiv preprint
arXiv:1611.00421, 2016. |
| [He2016] | Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun.
Identity mappings in deep residual networks. arXiv preprint
arXiv:1603.05027, 2016. |
| [Ronneberger2015] | Olaf Ronneberger, Philipp Fischer, and Thomas Brox.
U-net: convolutional networks for biomedical image segmentation.
MICCAI 2015. 2015. |
| [Sato2000] | Mie Sato, Ingmar Bitter, Michael A. Bender, Arie E. Kaufman,
and Masayuki Nakajima.
TEASAR: tree-structure extraction algorithm for accurate and robust
skeletons.
PCCGA 2000. 2000. |
| [Bitter2002] | Ingmar Bitter, Arie E. Kaufman, and Mie Sato.
Penalized-distance volumetric skeleton algorithm.
IEEE Trans on Visualization and Computer Graphics. 2002. |