Automatic Lung Segmentation With Juxta-Pleural Nodule Identification Using Active Contour Model and Bayesian Approach

Objective: chest computed tomography (CT) images and their quantitative analyses have become increasingly important for a variety of purposes, including lung parenchyma density analysis, airway analysis, diaphragm mechanics analysis, and nodule detection for cancer screening. Lung segmentation is an...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6001848/
https://www.ncbi.nlm.nih.gov/pubmed/29910995
http://dx.doi.org/10.1109/JTEHM.2018.2837901

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6001848/
https://www.ncbi.nlm.nih.gov/pubmed/29910995
http://dx.doi.org/10.1109/JTEHM.2018.2837901

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