A deep learning method for counting white blood cells in bone marrow images

BACKGROUND: Differentiating and counting various types of white blood cells (WBC) in bone marrow smears allows the detection of infection, anemia, and leukemia or analysis of a process of treatment. However, manually locating, identifying, and counting the different classes of WBC is time-consuming...

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Detalles Bibliográficos
Autores principales: Wang, Da, Hwang, Maxwell, Jiang, Wei-Cheng, Ding, Kefeng, Chang, Hsiao Chien, Hwang, Kao-Shing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576964/
https://www.ncbi.nlm.nih.gov/pubmed/34749635
http://dx.doi.org/10.1186/s12859-021-04003-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576964/
https://www.ncbi.nlm.nih.gov/pubmed/34749635
http://dx.doi.org/10.1186/s12859-021-04003-z

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