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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
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)