Nodule Identification for Lung Screening
Principal Investigator
Name
Osama Masoud
Degrees
Ph.D.
Institution
Vital Images
Position Title
Director of Clinical R&D
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-353
Initial CDAS Request Approval
Sep 22, 2017
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