Juxta-vascular pulmonary nodule segmentation in PET-CT imaging based on an LBF active contour model with information entropy and joint vector

DOI10.1155/2018/2183847zbMath1409.92132OpenAlexW2783142682WikidataQ52659335 ScholiaQ52659335MaRDI QIDQ1731293

Yan Qiang, Rui Hao, Xiaofei Yan

Publication date: 13 March 2019

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2018/2183847

zbMATH Keywords

information entropyPET-CT imagingpulmonary nodule segmentation

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Measures of information, entropy (94A17)

Uses Software

• Elastix

Cites Work

• A Mathematical Theory of Communication
• Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations
• A Novel Approach for Lung Nodules Segmentation in Chest CT Using Level Sets

This page was built for publication: Juxta-vascular pulmonary nodule segmentation in PET-CT imaging based on an LBF active contour model with information entropy and joint vector