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New segmentation and feature extraction algorithm for classification of white blood cells in peripheral smear images

This article addresses a new method for the classification of white blood cells (WBCs) using image processing techniques and machine learning methods. The proposed method consists of three steps: detecting the nucleus and cytoplasm, extracting features, and classification. At first, a new algorithm...

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Detalles Bibliográficos
Autores principales: Tavakoli, Sajad, Ghaffari, Ali, Kouzehkanan, Zahra Mousavi, Hosseini, Reshad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8484470/
https://www.ncbi.nlm.nih.gov/pubmed/34593873
http://dx.doi.org/10.1038/s41598-021-98599-0

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