Machine learning to differentiate between malignant and benign nodules
Principal Investigator
Name
Parag Chaudhari
Degrees
MD
Institution
Mon Health Medical Center
Position Title
Pulmonary and Critical Care Fellow
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-315
Initial CDAS Request Approval
Jun 22, 2017
Title
Machine learning to differentiate between malignant and benign nodules
Summary
It is still a diagnostic challenge in clinics to differentiate between nodules which are less than 1 cm if they are malignant or benign. We would like to use deep learning analysis techniques to help differentiate between these nodules. For this we will need lung cancer nodule images which are less than 1 cm and were malignant. Also we will need subcentimeter lung nodules images which were not malignant.
Aims
1. To use deep neural networks to differentiate malignant vs benign subcentimeter nodules.
2.To differentiate between different types of lung cancer
Collaborators
Tulane Medical Center
Division of Pulmonary, Critical Care and Environmental Medicine