Survival analysis of Histopathology
Principal Investigator
Name
Huang rungen
Degrees
M.E.
Institution
Hangzhou Dianzi University
Position Title
master
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-797
Initial CDAS Request Approval
Jun 14, 2021
Title
Survival analysis of Histopathology
Summary
In recent years, survival prediction for patients based on Gigapixel Histopathology whole-slide Image (WSI) has attracted increasing attention. We want to develop a model to predict survival on WSIs based on MLP-Mixed and Multiple Instance Survival Learning, in order to improve the effect of survival analysis.
Aims
To Improve the current Deep neural network for survival prediction on histopathological Whole-Slide Images.
Collaborators
Completed independently