Computer-aided Detection System for Lung Nodules in Low-dose CT Scans

Principal Investigator

Name
Rong-Tai Chen

Degrees
Ph.D.

Institution
TaiHao Medical Inc.

Position Title
R&D Director

Email
paulchen@taihaomed.com

About this CDAS Project

Study
NLST (Learn more about this study)

Project ID
NLST-662

Initial CDAS Request Approval
Apr 21, 2020

Title
Computer-aided Detection System for Lung Nodules in Low-dose CT Scans

Summary
Lung cancer is the leading cause of cancer-related deaths worldwide, and early detection of lung cancer using low-dose computed tomography (CT) can prevent millions of patients from being killed each year. However, reading millions of CT scans is a heavy burden for radiologists. Computer-aided detection will help radiologists better detect nodules and easily obtain quantitative features such as nodule size and likelihood of malignancy. The National Lung Screening Trial (NLST) contains LDCT images for patients with lung cancers and with benign nodules. We plan to used these images to enhance our model to more accurately detect lung nodules from LDCT images.

Aims

- Develop a model for detecting and locating nodules.
- Develop a model to estimate the nodular malignancy and lung-RADS classification.

Collaborators

N/A