Segmentation of white blood cells and comparison of cell morphology by linear and naïve Bayes classifiers

BACKGROUND: Blood smear microscopic images are routinely investigated by haematologists to diagnose most blood diseases. However, the task is quite tedious and time consuming. An automatic detection and classification of white blood cells within such images can accelerate the process tremendously. I...

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Detalles Bibliográficos
Autores principales: Prinyakupt, Jaroonrut, Pluempitiwiriyawej, Charnchai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4485641/
https://www.ncbi.nlm.nih.gov/pubmed/26123131
http://dx.doi.org/10.1186/s12938-015-0037-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4485641/
https://www.ncbi.nlm.nih.gov/pubmed/26123131
http://dx.doi.org/10.1186/s12938-015-0037-1

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