cyc9805/ramp-acl

Predict the Presence of Ramp Lesions in ACL Deficient Knees using Machine Learning Techniques

Predicting RAMP Lesions in ACL Deficient Knees

Predict the Presence of Ramp Lesions in ACL Deficient Knees using Machine Learning Techniques

Prerequisites

• Python3 (tested w/ v3.9.0)
• pip3

Setup and Running

1. $ git clone https://github.com/Medical-ML/ramp-acl.git
2. $ cd ramp-acl/
3. $ python3 -m venv venv
4. $ . ./venv/bin/activate
5. $ pip3 install -r requirements_ml.txt
   • You might get an error about ERROR: After October 2020 you may experience errors when installing or updating packages. This is because pip will change the way that it resolves dependency conflicts. or some incompatibility issue with TensorFlow. But you can ignore these error for now.
6. If running for the first time without input and output directories made:
   1. $ mkdir input_dir;mkdir output_dir
7. $ python3 ramp_acl.py -i input_dir -o output_dir -f data.xlsx
   • NOTE: The included sample_data_format.xlsx DOES NOT run correctly with this code since the Excel file does not contain enough valid data. Please just use it as a reference for figuring out the data format that works with this particular code.
8. Results will be printed and figures will be saved in output_dir.