The purpose of this research is to determine whether or not a CT scan can accurately predict a patient's chance of survival after a diagnosis of kidney cancer. This study utilizes two deep learning networks, one for extracting features from images and another for predicting how long an individual will live. This study's survival model is non-linear and non-proportional. Our methodology produces survival curves for each individual that are unique to them.
-
Notifications
You must be signed in to change notification settings - Fork 0
License
mahootiha-maryam/Survival_Analysis_Kidney_Cancer
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
No description, website, or topics provided.
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published