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detecting, marking and classifying lung cancer in CT-Scans with deep learning algorithms

Principal Investigator
Name
Qasim Mohammad
Institution
Independent
Position Title
student
Email
About this CDAS Project
Study
NLST (Learn more about this study)
Project ID
NLST-378
Initial CDAS Request Approval
Dec 1, 2017
Title
detecting, marking and classifying lung cancer in CT-Scans with deep learning algorithms
Summary
We are trying to detect and mark lung cancer in CT-Scans. Having detected and marked successfully, we would like to classify lung cancer in subgroups. All this work is done with deep learning algorithms. NLST datasets will be used as trainingset for our neural network.
Aims

- create deep learning model to detect lung cancer in CT-Scans
- create deep learning model to mark lung cancer structures in CT-Scans
- help physicians to classify lung cancer in subgroups with deep learning model

Collaborators

Owais Mohammad (Klinikum Ludwigshafen, Germany)