Evaluation of malignant risk of pulmonary nodules using deep learning
Principal Investigator
Name
Chang Liu
Degrees
Master
Institution
Wuhan University, School of Computer Science
Position Title
Student
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-914
Initial CDAS Request Approval
May 23, 2022
Title
Evaluation of malignant risk of pulmonary nodules using deep learning
Summary
In this project, our goal is to develop and validate artificial intelligence algorithm, which can automatically evaluate the malignant risk of pulmonary nodules in CT scanning, and fine classification based on pathological images.
NLST data will be used to train AI models by extracting information from baseline and subsequent scans.
NLST data will be used to train AI models by extracting information from baseline and subsequent scans.
Aims
Develop and validate a deep learning algorithm to evaluate the malignant risk of pulmonary nodules found in CT screening.
Collaborators
Bo DU, Wuhan University