ml_med_imaging_failures
ml_med_imaging_failures copied to clipboard
Failures in machine learning for medical imaging
Analyses for Learning from failure - guidelines for improving machine learning in medical imaging by Varoquaux & Cheplygina
In this repository you can find the data and code to reproduce Figures 1 to 3 from the paper.
Fig. 1 - Progress of Alzheimer's diagnosis challenges
- paper_tables_raw - tables as saved from HTML, or extracted by Tabula from the paper PDF.
- paper_tables_clean - same tables after cleaning by the raw tables
- plot_papers.py - code creating the figure
Fig. 2 - Lung vs breast cancer in medical vs medical machine learning papers
- publications - Excel file with publication numbers extracted from Dimensions.AI
- plot_publicationgap.py - code creating the figure
Fig. 3 - Analysis of gaps between public and private leaderboards on Kaggle
- kaggle - tables with the raw data about the challenges
- plot_kaggle.py - code creating the figure