nd-Overall-Survival-from-the-BraTS-Glioma-Dataset
所属分类：医药行业
开发工具：Jupyter Notebook
文件大小：13167KB
下载次数：0
上传日期：2019-11-14 17:05:18
上 传 者：
sh-1993
说明： MD Anderson癌症中心2017年夏季项目对应的文件夹。
(Folder corresponding to 2017 summer project at MD Anderson Cancer Center.)
文件列表:
Params.yaml (2358, 2019-11-15)
Radiomic Prediction of Tumor Grade and Overall Survival from the BraTS Glioma Dataset SI.pdf (1653654, 2019-11-15)
Radiomic Prediction of Tumor Grade and Overall Survival from the BraTS Glioma Dataset.ipynb (9275120, 2019-11-15)
Radiomic Prediction of Tumor Grade and Overall Survival from the BraTS Glioma Dataset.pdf (1317578, 2019-11-15)
Radiomic+Prediction+of+Tumor+Grade+and+Overall+Survival+from+the+BraTS+Glioma+Dataset.html (3582083, 2019-11-15)
input files (0, 2019-11-15)
input files\Survival_flair_label2_norm_binpt1_Wavelet_radiomics.csv (2282766, 2019-11-15)
input files\Survival_t1ce_label1_norm_binpt1_Wavelet_radiomics_output.csv (2275553, 2019-11-15)
input files\Survival_t1ce_label4_norm_binpt1_Wavelet_radiomics_output.csv (2279123, 2019-11-15)
input files\grades_flair_label2_norm_binpt1_Wavelet_radiomics.csv (3943745, 2019-11-15)
input files\grades_t1ce_label1_norm_binpt1_Wavelet_radiomics.csv (3944864, 2019-11-15)
input files\grades_t1ce_label4_norm_binpt1_Wavelet_radiomics.csv (3648929, 2019-11-15)
# Radiomic-Prediction-of-Tumor-Grade-and-Overall-Survival-from-the-BraTS-Glioma-Dataset
Folder corresponding to 2017 summer project at MD Anderson Cancer Center. Correspondance: kareem.a.wahid@uth.tmc.edu.
## This repo contains the following files:
PDF of project report (Radiomic Prediction of Tumor Grade and Overall Survival from the BraTS Glioma Dataset.pdf).
PDF of supplementary information (Radiomic Prediction of Tumor Grade and Overall Survival from the BraTS Glioma Dataset SI.pdf).
Folder containing csv files neccessary for running notebook (input files).
Jupyter notebook of code implementation (Radiomic Prediction of Tumor Grade and Overall Survival from the BraTS Glioma Dataset.ipynb).
HTML copy of Jupyter notebook (Radiomic+Prediction+of+Tumor+Grade+and+Overall+Survival+from+the+BraTS+Glioma+Dataset).
Parameter file used in radiomic feature extaction (Params.yaml).
## Utilized the following python libraries in project:
pyradiomics to generate features of dataset. http://pyradiomics.readthedocs.io/en/latest/
pandas for data manipulation.
sklearn for machine learning.
imblearn for upsampling.
matplotlib for graphing.
seaborn for data visualizations.
statsmodels for ANOVA statistical test.
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