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lung nodule segmentation and shape analysis

Principal Investigator
Name
DI XU
Degrees
Ph.D
Institution
University of California, Los Angeles
Position Title
Researcher
Email
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