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Principal Investigator
Name
Seungwook Yang
Degrees
Ph.D
Institution
Samsung Electronics
Position Title
Research Scientist
Email
About this CDAS Project
Study
NLST (Learn more about this study)
Project ID
NLST-579
Initial CDAS Request Approval
Oct 24, 2019
Title
Exploration of deep learning-based model's lung cancer screening capabilities.
Summary
Although chest radiography has proven inferiority in terms of screening accuracy compared to computed tomography, augmenting human readers with deep learning-based computer-aided detection (CAD) model for pulmonary nodules may provide added benefits in screening. This project will first utilize radiographs from the NLST study as a standardized external validation set and compare the detection accuracies between a deep learning-based model and human readers, then the investigators will develop a new lung cancer prediction model involving the detection results.
Aims

- Exploration / validation of deep learning-based nodule detection system and comparison with human readers.
- Development of a novel lung cancer prediction model incorporating deep learning-based nodule detection system's results.

Collaborators

Clinical Research Group, Health & Medical Equipment Business, Samsung Electronics