Benign and malignant pulmonary nodules diagnosis.
Principal Investigator
Name
Huang Xiansong
Degrees
M.S.
Institution
Department of AI Research, ShenZhen Cyberspace Laboratory
Position Title
Engineer of Department of Medical Image analysis
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-455
Initial CDAS Request Approval
Nov 30, 2018
Title
Benign and malignant pulmonary nodules diagnosis.
Summary
The project expects to differentiate benign and malignant nodules in pulmonary CT images.We hope to use computer vision algorithm to train a large number of lung CT nodule images, combined with the doctor's experience.The algorithm is expected to achieve automatic differentiation of benign and malignant nodules at a higher level than that of clinicians.
Aims
Complete the detection and diagnosis of pulmonary nodules and retrospective analysis of the lesions.
Collaborators
Jie Chen, University of Oulu, Finland