Skip to content

Commit

Permalink
rdme update
Browse files Browse the repository at this point in the history
Signed-off-by: neuronflow <[email protected]>
  • Loading branch information
neuronflow committed Feb 21, 2024
1 parent ce981df commit 0524d73
Showing 1 changed file with 21 additions and 13 deletions.
34 changes: 21 additions & 13 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -66,10 +66,30 @@ Please also cite the following original authors of the algorithms who make this
| scan-20 & scan_lite-20 | McKinley, R., Rebsamen, M., Dätwyler, K., Meier, R., Radojewski, P., & Wiest, R. (2021). Uncertainty-driven refinement of tumor-core segmentation using 3d-to-2d networks with label uncertainty. In Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 6th International Workshop, BrainLes 2020, (pp. 401-411). Springer International Publishing. |


## Usage
Checkout the Python examples in this repository for preprocessing (`0_preprocessing_single.py`), segmentation (`1_segmentation.py`) and fusion () TODO

## Brats Preprocessor
## Brats Segmentor
BraTS Segmentor enables orchestration of BraTS brain tumor segmentation algorithms for generation of fully-automated segmentations.
For segmentation your files should be `preprocessed`, meaning they should be co-registered and skullstripped in SRI-24 space.
You can preprocess your files using [BrainLes preprocessing](https://github.com/BrainLesion/preprocessing) (recommended) or the deprecated preprocessor of BraTS Toolkit (see below).

### Python package
Please have a look at `1_segmentation.py` in this repository for a demo application.

### Command Line Interface (CLI)
Type `brats-segment -h` after installing the python package to see available options.

## Brats Fusionator
BraTS Fusionator can combine the resulting candidate segmentations into consensus segmentations using fusion methods such as majority voting and iterative SIMPLE fusion.
### Python package
Please have a look at `2_fusion.py` in this repository for a demo application.

## Brats Preprocessor (deprecated)
BraTS Preprocessor facilitates data standardization and preprocessing for researchers and clinicians alike. It covers the entire image analysis workflow prior to tumor segmentation, from image conversion and registration to brain extraction.

> WARNING: BraTS Preprocessor is deprecated. It still works but we recommended using [BrainLes preprocessing](https://github.com/BrainLesion/preprocessing) instead.
### Processing Modi
BraTS Preprocessor offers the following preprocessing modes:
#### GPU brain extraction: "gpu"
Expand Down Expand Up @@ -101,18 +121,6 @@ Type `brats-batch-preprocess -h` after installing the python package to see avai
You can find instructions to use and download the GUI variant here: https://neuronflow.github.io/BraTS-Preprocessor/
> WARNING: The GUI is not nicely maintained. We encourage you to use the python package or the CLI instead.
## Brats Segmentor
BraTS Segmentor enables orchestration of BraTS brain tumor segmentation algorithms for generation of fully-automated segmentations.
### Python package
Please have a look at `1_segmentation.py` in this repository for a demo application.

### Command Line Interface (CLI)
Type `brats-segment -h` after installing the python package to see available options.

## Brats Fusionator
BraTS Fusionator can combine the resulting candidate segmentations into consensus segmentations using fusion methods such as majority voting and iterative SIMPLE fusion.
### Python package
Please have a look at `2_fusion.py` in this repository for a demo application.

### Command Line Interface (CLI)
Type `brats-fuse -h` after installing the python package to see available options.
Expand Down

0 comments on commit 0524d73

Please sign in to comment.