nsclc-radiogenomics

Drexel AI 2021 Fall

Setup

Run the following in the root directory of this project in order to install all dependencies.

pip install -r requirements.txt

Backgound

• https://pubs.rsna.org/doi/full/10.1148/ryai.2020200029
• https://arxiv.org/abs/2104.14420
• https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7252460/
• https://www.frontiersin.org/articles/10.3389/fonc.2020.570465/full

Tasks

• data set
  • https://wiki.cancerimagingarchive.net/display/Public/NSCLC+Radiogenomics
• paper template on overleaf
  • https://www.overleaf.com/4826185589tjyzkynzsbfb
• preprocess clinical features: Alex
• preprocess genomic features: Ethan
• segment images: Ethan
• [] preprocess imaging features: Ethan, Alex, Satvik
  • https://theaisummer.com/medical-image-python/
• [] calculate correlation, clustering (PCA, hierachial clustering, distributions), and exclude highly correlative features
• [] fit a model (neural network, random forest, regression)
• [] evaulate performance
• [] write the paper
  • [] abstract
  • [] introduction
  • [] background
  • [] methods
  • [] results
  • [] conclusion/future work
  • [] figures/tables