Skip to Main Content

An official website of the United States government

Government Funding Lapse

Because of a lapse in government funding, the information on this website may not be up to date, transactions submitted via the website may not be processed, and the agency may not be able to respond to inquiries until appropriations are enacted. The NIH Clinical Center (the research hospital of NIH) is open. For more details about its operating status, please visit  cc.nih.gov. Updates regarding government operating status and resumption of normal operations can be found at OPM.gov.

3D Visualization and segmentation of lung CT

Principal Investigator
Name
William Daughton
Degrees
Ph.D.
Institution
Curemetrix, Inc.
Position Title
Algorithm Scientist
Email
About this CDAS Project
Study
NLST (Learn more about this study)
Project ID
NLST-550
Initial CDAS Request Approval
Aug 7, 2019
Title
3D Visualization and segmentation of lung CT
Summary
While object detection and classification are ideal tasks for deep learning, segmentation poses unique challenges. This is because the creation of masks are not always straightforward as well as highly labor intensive.
Aims

The goal of this project is to explore approaches for effective labeling, segmentation and visualization of CT lung images.

Collaborators

hoanh@curemertrix.com
richard@curemetrix.com