Survival Analysis for Whole Slide Images based on Multiple Instance Learning
Principal Investigator
Name
Wei Wu
Degrees
M.D.
Institution
Xiamen University
Position Title
Student
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-786
Initial CDAS Request Approval
Apr 21, 2021
Title
Survival Analysis for Whole Slide Images based on Multiple Instance Learning
Summary
Recent studies have shown that multi-instance learning is very suitable for the analysis of Whole Slide Images(WSIs). Deep Attention Multiple Instance Survival Learning (DeepAttnMISL) achieves good results in the task of survival analysis for WSIs. So we want to further investigate the effect of Multiple Instance Learning on pathological images in the survival analysis task.
Aims
To improve the prognosis of lung cancer patients based on MIL analysis of pathological images.
Collaborators
Liansheng Wang, Xiamen University