lung nodule segmentation and shape analysis

Principal Investigator

Name
DI XU

Degrees
Ph.D

Institution
University of California, Los Angeles

Position Title
Researcher

Email
dixu@mednet.ucla.edu

About this CDAS Project

Study
NLST (Learn more about this study)

Project ID
NLST-1011

Initial CDAS Request Approval
Jan 18, 2023

Title
lung nodule segmentation and shape analysis

Summary
We plan to use deep learning method to construct an accurate lung nodule segmentation pipeline. and followed by that for false positivity reduction and classification on benign/malignant tumor we plan to conduct lung nodule shape, curvature and other feature analysis.

Aims

1. lung nodule segmentation
2. lung nodule shape analysis

Collaborators

Ke Sheng University of California, San Francisco