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.