Segmentation of Endothelial Cell Boundaries of Rabbit Aortic Images Using a Machine Learning Approach

This paper presents an automatic detection method for thin boundaries of silver-stained endothelial cells (ECs) imaged using light microscopy of endothelium mono-layers from rabbit aortas. To achieve this, a segmentation technique was developed, which relies on a rich feature space to describe the s...

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Detalles Bibliográficos
Autores principales: Iftikhar, Saadia, Bond, Andrew R., Wagan, Asim I., Weinberg, Peter D., Bharath, Anil A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3132519/
https://www.ncbi.nlm.nih.gov/pubmed/21760766
http://dx.doi.org/10.1155/2011/270247

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3132519/
https://www.ncbi.nlm.nih.gov/pubmed/21760766
http://dx.doi.org/10.1155/2011/270247

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