Tracking Lung Tumors in Orthogonal X-Rays

This paper presents a computationally very efficient, robust, automatic tracking method that does not require any implanted fiducials for low-contrast tumors. First, it generates a set of motion hypotheses and computes corresponding feature vectors in local windows within orthogonal-axis X-ray image...

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Detalles Bibliográficos
Autores principales: Li, Feng, Porikli, Fatih
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3748426/
https://www.ncbi.nlm.nih.gov/pubmed/23986789
http://dx.doi.org/10.1155/2013/650463

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3748426/
https://www.ncbi.nlm.nih.gov/pubmed/23986789
http://dx.doi.org/10.1155/2013/650463

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