CS 598 Deep Learning for Healthcare - Spring Semester 2023

Final Project William Kiger (wkiger2@illinois.edu) and Kristopher Gallagher (kmg8@illinois.edu)

A Second Look at "Fair Conformal Predictors for Applications in Medical Imaging"

Steps to run our programs:

The dataset and model must be downloaded from here: https://drive.google.com/drive/folders/1yC46cY7UR49-FMBja1Z_AEohmLnXuEWj?usp=sharing
Download the model "resnet_18_derm_model_test_v2.pt" and place it in the directory named "model"
Unzip the datasets "validation_dataset" & "data_train_valid_only" and place them in the directory named "data" The relative paths should look like this when finished:
FinalProject\data\data_train_valid_only\data which contains train and valid directories
FinalProject\data\validation_dataset\val which contains the 10 labeled directories with images
Please ensure your paths look like this before running our programs.
Create conda environment
There are 2 .yml files included in the repo to reproduce our conda environments, environment_nobuilds.yml which is less system dependant. The complete .yml file with the build information is named environment.yml. You may need to update your path in the prefix sections in the yml files.

Name		Name	Last commit message	Last commit date
Latest commit History 63 Commits
conformal_raps		conformal_raps
data		data
images		images
model		model
naive_conformal_prediction		naive_conformal_prediction
Data_Eval.ipynb		Data_Eval.ipynb
Naive_Conformal_Predictions.ipynb		Naive_Conformal_Predictions.ipynb
Proposal Submitted.pdf		Proposal Submitted.pdf
README.md		README.md
Resnet_18_skin_bias_analysis.ipynb		Resnet_18_skin_bias_analysis.ipynb
Resnet_18_train_v2.ipynb		Resnet_18_train_v2.ipynb
Run_NaivePredictions.ipynb		Run_NaivePredictions.ipynb
ScrapeDataset.ipynb		ScrapeDataset.ipynb
aps_exploration.ipynb		aps_exploration.ipynb
environment.yml		environment.yml
environment_nobuilds.yml		environment_nobuilds.yml
fitzpatrick17k.csv		fitzpatrick17k.csv
proposal_feedback.txt		proposal_feedback.txt
raps_derm_study.ipynb		raps_derm_study.ipynb
start_metric_raps_derm_study.ipynb		start_metric_raps_derm_study.ipynb