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Lung Nodule Analysis

Principal Investigator
Name
Apparao MLV
Degrees
B Tech
Institution
Endimension Technology
Position Title
Operations Manager
Email
About this CDAS Project
Study
NLST (Learn more about this study)
Project ID
NLST-539
Initial CDAS Request Approval
Jul 15, 2019
Title
Lung Nodule Analysis
Summary
We aim to develop and clinically validate software that has potential to aid radiologists and physicians in the process of analyzing lung CT scan images for the early detection of lung cancer. This software uses machine learning algorithms for automatic detection of lung nodules and can aid especially in areas where access to radiologists is limited. Most of the data will be used for training the model, and the remainder will be used for validation.
Aims

- Develop a deep learning model to automatically detect lung nodules from CT scans
- Validate the algorithm on test data
- Reduce analysis time and human error involved in the process.

Collaborators

None