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Principal Investigator
Name
anwei li
Degrees
M.D.
Institution
shiyuan health research center
Position Title
researcher
Email
About this CDAS Project
Study
NLST (Learn more about this study)
Project ID
NLST-713
Initial CDAS Request Approval
Oct 8, 2020
Title
lung cancer screening
Summary
Lung cancer is the leading cause of death of malignant tumors, and early diagnosis is very important for the prognosis of lung cancer. Studies have shown that low-dose computed tomography (CT) screening can reduce the mortality of lung cancer, but there are some problems such as high false positive rate, over diagnosis and radiation effect. In order to solve these problems, we establish lung cancer evaluation model to understand and recognize cancer from images, with deep learning.
Aims

1.Establish lung cancer evaluation model with deep learning;
2.Screening lung cancer from high risk population´╝Ť
3.Solve the problems such as high false positive rate, over diagnosis and radiation effect, with low-dose computed tomography (CT) screening.

Collaborators

no