Random Forest Pixel Classification on FIB-SEM Datasets

This repository hosts code for performing deep-learning based segmentation in the Washington University Center for Cellular Imaging.

This new repository is prepared for WU RIS HPC.

Methods

Pixel Classification by Random Forest

Data

Data: Generated from Zeiss Crossbeam 540 FIB-SEM
- 3D dataset
- Voxel-size: 10 * 10 * 10 nm³
Sample: Human hepatic cells
Labels region:
- cell Membrane
- nucleus
- nucleolus
- lipid droplets

License

This work is licensed under a Creative Commons Attribution 4.0 International License.