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Lung Cancer diagnosis from radiology imaging

Principal Investigator
Name
Babu Arunachalam
Degrees
MSCS
Institution
Xen.ai
Position Title
Head of Data Science
Email
About this CDAS Project
Study
NLST (Learn more about this study)
Project ID
NLST-568
Initial CDAS Request Approval
Sep 11, 2019
Title
Lung Cancer diagnosis from radiology imaging
Summary
The goal of the project is to effectively identity lung cancer from radiology imaging available with NLST lung screening data. We will use unsupervised and supervised deep learning methods to classify images. Accuracy of 95% for true positives and elimination of false positives by 95%.
Aims

Identify whether image quality is acceptable
Classify presence or absence of malignant tumor or inconclusive

Collaborators

Param Namboodiri, Vishal Shah