Skip to content

Radiomics (here mainly means hand-crafted based radiomics) contains data acquire, ROI segmentation, feature extraction, feature selection, machine learning modeling, and stastical analysis.

License

Notifications You must be signed in to change notification settings

JZK00/Radiomics-research-by-using-Python

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

21 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Radiomics-research-by-using-Python

Radiomics (here mainly means hand-crafted based radiomics) contains data acquire, ROI segmentation, feature extraction, feature selection, machine learning modeling, and stastical analysis.

Note:

It might not be an easy task, but the effort could prove worthwhile—or as a prominent political figure might have said, had he done research in radiomics: “We should choose to bring radiomics to clinical routine in this decade, not because it is easy, but because it is hard; because the goal should be to serve our patients and improve outcomes”.

Good, it's from a paper titled "A decade of radiomics research: are images really data or just patterns in the noise?" in European Radiology. I want to say, let's do it!

About

Radiomics (here mainly means hand-crafted based radiomics) contains data acquire, ROI segmentation, feature extraction, feature selection, machine learning modeling, and stastical analysis.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published