xiaochengcike / radiomic-prediction-of-tumor-grade-from-the-brats-glioma-dataset

For MD Anderson Colen Laboratory.

Radiomic-Prediction-of-Tumor-Grade-from-the-BraTS-Glioma-Dataset

Folder corresponding to 2017 summer/fall project at MD Anderson Cancer Center. Correspondance: [email protected].

This repo contains the following files:

Folder containing input files neccessary for running notebook (grades_t1ce_label1.csv, grades_t1ce_label4.csv, grades_flair_label2.csv).

Jupyter notebook of code implementation (Radiomic Glioma Prediction Jupyter Notebook.ipynb).

HTML copy of Jupyter notebook (Radiomic Glioma Prediction Jupyter Notebook.html).

Parameter file used in radiomic feature extaction (exampleMR_NoResampling.yaml).

2 picture files used in the notebook (workflow_figure.png, workflow_overview.png).

Utilized the following python libraries in project:

pyradiomics v.1.3.0 to generate features of dataset. http://pyradiomics.readthedocs.io/en/latest/

pandas for data manipulation.

sklearn for machine learning.

imblearn for SMOTE upsampling.

matplotlib for graphing.

seaborn for data visualizations.

statsmodels for ANOVA statistical test.