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Early diagnosis of lung cancer applying deep neural networks using computerized tomography images

Principal Investigator
Name
Jonathan Domínguez
Degrees
B.D.
Institution
CIDESI
Position Title
Student
Email
About this CDAS Project
Study
NLST (Learn more about this study)
Project ID
NLST-368
Initial CDAS Request Approval
Oct 25, 2017
Title
Early diagnosis of lung cancer applying deep neural networks using computerized tomography images
Summary
The project is focused in making early diagnosis of lung cancer using deep neural networks. The reason for making the project is to build my Master's degree thesis and to contribute to the research community by providing alternative diagnostic tools for lung cancer. For this I need a large and trustable data base of computerized tomographies, along with the diagnostic verdict to train the algorithm.
Aims

Make a comparison between different machine learning algorithms that have been applied for lung cancer detection.

Gather a large data base of lung cancer computerized tomographies.

Propose the mathematical model in which the deep learning algorithm will be based on.

Train and validate the algorithm.

Write the thesis.

Collaborators

Ph.D. Eloy Edmundo Rodríguez Vázquez - CIDESI
Ph.D. Nayeli Camacho Tapia - CIDESI