Skip to content

Latest commit

 

History

History
14 lines (11 loc) · 675 Bytes

README.md

File metadata and controls

14 lines (11 loc) · 675 Bytes

organ_segmentation_analysis

Organ segmentation demo at MICCAI19 Bayesian Deep Learning for Medical Imaging tutorial

Paper link

DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks

Run the code

There are two ways to run the code:

  • Change the configurations in config.py and then run main.py
  • Run Organ_Seg_Analysis.ipynb in jupyter notebook line by line

Download data/model/predictions

Data/Pretrained_model/Saved_predictions
Put those folders or files into current directory (.../organ_segmentation_analysis/)