Using deep learning approach to identify lung cancer and pulmonary tuberculosis

Principal Investigator

Name
Yuan Wang

Degrees
Ph.D

Institution
Washington State University

Position Title
Assistant Professor

Email
ywang@math.wsu.edu

About this CDAS Project

Study
NLST (Learn more about this study)

Project ID
NLST-439

Initial CDAS Request Approval
Sep 4, 2018

Title
Using deep learning approach to identify lung cancer and pulmonary tuberculosis

Summary
Pulmonary tuberculosis (TB) is a common misdiagnose for patients with lung cancer, CT scan is the one of most important aids for lung pulmonary disease detection. The initial object of our study is developing a deep neural network to classify CT scanning images for differential exclusion of tuberculosis and lung cancer. To achieve this goal, we will utilize the screening information to develop better predictors through TensorFlow.

Aims

The aim of my project is to develop a virtual classifier using deep learning approach. The classifier will automatically determine the tuberculosis and lung cancer based on CT images. It will help future cancer screening and accurate diagnosis of tuberculosis or malignancy.

Collaborators

Hang Guo M.D. M.P.H.
Washington State University