Skip to content

asherp7/patch_classifier

Repository files navigation

CNN patch classifier for segmentation of liver tumors

Workflow:

  1. Combine data using combine_data.py script. Data should be organized in 3 sub-folders:
    • ct_scans
    • liver_seg
    • tumors
  2. Generate patches h5 file using the generate_patches.py script
  3. Train model using training_script.py
  4. Predict on test set ct scans using prediction_script.py
  5. Analyze results using analyze_script.py

Next Phases (Not in Github):

Run Chan-Vese segmentation with prediction probability map as input 1. Set ct_dir_path to be the path to the ct scans. 2. Set liver_dir_path 3. Set cnn_res_dir_path Then run the 2 Chan-Vese scripts: 1. Chan-Vese step 1 2. Chan-Vese step 2

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages