tiramisu-brulee 0.1.3

A 2D and 3D PyTorch implementation of the Tiramisu CNN

tiramisu-brûlée

A 2D and 3D PyTorch implementation of the Tiramisu CNN

This package is primarily used for multiple sclerosis (MS) lesion segmentation; specifically, T2 lesions in the brain.

• Free software: Apache Software License 2.0

• Documentation: https://tiramisu-brulee.readthedocs.io.

Install

The easiest way to install the package is with:

pip install tiramisu-brulee

Alternatively, you can download the source and run:

python setup.py install

Basic Usage

Import the 2D or 3D version with:

from tiramisu_brulee import Tiramisu2D, Tiramisu3D

References

[1] Jégou, Simon, et al. “The one hundred layers tiramisu: Fully convolutional densenets for semantic segmentation.” CVPR. 2017.

[2] Zhang, Huahong, et al. “Multiple sclerosis lesion segmentation with Tiramisu and 2.5D stacked slices.” International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2019.

History

0.1.0 (2021-05-13)

• First release on PyPI.