This is a talk for the June 2019 SIIM meeting on Exploratory Data Analysis.
We explored the dataset from the RSNA Pneumonia Detection Challenge.
We acknowledge that we based our analysis in significant part on kernels such as:
- https://www.kaggle.com/zahaviguy/what-are-lung-opacities
- https://www.kaggle.com/gpreda/rsna-pneumonia-detection-eda
- https://www.kaggle.com/peterchang77/exploratory-data-analysis
- https://www.kaggle.com/aantonova/practical-eda-on-numerical-data
We do not go into training the data or any machine learning of a dataset within this talk, this is within the scope of other talks.