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Description
raclahe
Description
RACLAHE (Region-Adaptive Contrast Limited Adaptive Histogram Equalization) is an image enhancement method specifically designed for improving CNN-based segmentation of the prostate and prostatic zones in T2-Weighted MR images.
Usage
jobman submit -i raclahe -- <INPUT_DIR> <OUTPUT_DIR>
The application accepts 2 parameters:
- The input path of a dataset directory.
- The output directory where the results will be saved.
Example:
jobman submit -i raclahe -- ~/datasets/87f3be56-4725-45c3-9baa-d338de530f73/ ~/persistent-home/results/
Note the output directory path should be any within the persistent-home, which is shared between all desktops and jobs created by the user,
otherwise the results will be lost after the end of the job.
Authors
James Zaridis
FORTH
Contact info
URL
Quick start:
https://github.com/dzaridis/RACLAHE_Image_Enhancement_for_CNN_model_segmentation/blob/main/QUICKSTART.md
Public dockerfile repository:
https://github.com/dzaridis/RACLAHE_Image_Enhancement_for_CNN_model_segmentation/tree/main
License
https://github.com/dzaridis/RACLAHE_Image_Enhancement_for_CNN_model_segmentation/blob/main/LICENSE