Lung cancer Diagnosis Using Deep Learning
Principal Investigator
Name
Ayomide Abe
Degrees
PhD (in view)
Institution
Sefako Makgatho health sciences university
Position Title
PhD student
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-1318
Initial CDAS Request Approval
Sep 5, 2024
Title
Lung cancer Diagnosis Using Deep Learning
Summary
Lung cancer is a fatal disease. It is the most common cancer-related death among all genders. Early diagnosis can improve the disease prognosis. This project aims to develop novel algorithms to advance early lung cancer detection. The project is part of the PhD project of the principal investigator.
Aims
1) Develop novel algorithms to improve early lung cancer detection
2) Evaluate the effectiveness of the algorithm in detecting lung cancer using the NLSt dataset
3) Compare the results of the algorithm with available algorithms for early lung cancer detection
Collaborators
Prof. M Nyathi
Department of Medical Physics, Sefako Makgatho Health Sciences University
mpumelelo.nyathi@smu.ac.za
Prof. A Okundade
Department of Physics and Engineering Physics, Obafemi Awolowo University, Nigeria.
akintundeokunade@gmail.com