Deep learning for early diagnosis of lung cancer using low-dose CT scans

Principal Investigator

Name
Safak Yakti

Degrees
Ph.D. Candidate

Institution
Binghamton University

Position Title
Graduate Research Associate

Email
syakti1@binghamton.edu

About this CDAS Project

Study
NLST (Learn more about this study)

Project ID
NLST-398

Initial CDAS Request Approval
Apr 9, 2018

Title
Deep learning for early diagnosis of lung cancer using low-dose CT scans

Summary
Objective of this project is to apply deep learning on low-dose CT scans to aid in the interpretation of the scans to reduce possible human errors.

Aims

-To create a deep learning model that can correctly diagnose lung cancer from reading of CT scans
-To evaluate the performance of deep learning model compared to Computer-aided detection (CAD) algorithms

Collaborators

Dr. Mohammad T. Khasawneh (Binghamton University)