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Unsupervised analysis of thorax CT datasets

Principal Investigator
Name
Marian Himstedt
Degrees
PhD
Institution
University of Luebeck
Position Title
Postdoc
Email
About this CDAS Project
Study
NLST (Learn more about this study)
Project ID
NLST-870
Initial CDAS Request Approval
Jan 18, 2022
Title
Unsupervised analysis of thorax CT datasets
Summary
The research project aims at identifying cancerous tissue through unsupervised analysis of large-scale CT databases. We further address the automatic extraction and analysis of airway trees from CTs in order to map malformed bronchial tree formations also to increased prevalence of lung cancer.
Aims

- Unsupervised analysis of CT scans for detection of suspicious regions for lung cancer
- Automatic segmentation, analysis and evaluation of airway trees from CT scans

Collaborators

Fenja Falta
Mattias Heinrich