https://biometry.nci.nih.gov/cdas/approved-projects/1663/

Nodule Identification for Lung Screening

Principal Investigator

Name: Osama Masoud
Degrees: Ph.D.
Institution: Vital Images
Position Title: Director of Clinical R&D
Email: omasoud@vitalimages.com

Project Information

Study: NLST
Project ID: NLST-353
Title: Nodule Identification for Lung Screening

Summary

We aim to develop and clinically validate software that will help physicians identify and assess malignancy risk of lung nodules in chest CT scans. This software will use deep learning techniques to automatically identify, segment, and rank suspect lesions. The data will be used for training the algorithm and validation.

Aims

• Develop an algorithm that can automatically identify and segment lung lesions using deep learning techniques
• Develop an algorithm that can predict malignancy risk using both image and clinical data using deep learning techniques
• Validate the performances of the algorithms

Collaborators

Osama Masoud, Vital Images
Zhujiang Cao, Vital Images
Yan Yang, Vital Images