CTSegNet is a package for end-to-end 3D segmentation workflow for large X-ray tomographic datasets using 2D fully convolutional neural networks (fCNN).
Command-line interface for deploying 3D segmentation workflow using 2D fCNNs as well training your own Unet-like models with data-augmentation.
Read/write utilities support tiff series and hdf5 format. The hdf5 implementation exploits chunking to minimize RAM usage in very large (>50 GB) datasets.
Write your own scripts to test models and visualize segmentation results using the API.
Issue Tracker: https://github.com/aniketkt/CTSegNet/docs/issues
Source Code: https://github.com/aniketkt/CTSegNet/