survival analysis with pathological images
Principal Investigator
Name
Yicheng Wang
Degrees
M.D.
Institution
Tongji University
Position Title
Student
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-833
Initial CDAS Request Approval
Sep 14, 2021
Title
survival analysis with pathological images
Summary
Most survival analysis models are limited to process structed data. We want to use pathological images(WSIs) from NLST dataset in lung cancer survival analysis, and demonstrate that images can be used as additional information for survival analysis. We plan to develop a deep learning model to fuse image and clinical features, which can improve the survival prediction performance.
Aims
Mining the relationship between lung image and patient survival information
Research on deep learning method which can fuse image and clinical features
Collaborators
Luo Ye , Associate Professor