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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2015
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| 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 |