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

Project Information
Study: NLST
Project ID: NLST-398
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)