Cargando…
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...
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: | |
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 |
Ejemplares similares
-
White Blood Cell Count and the Risk of Colon Cancer
por: Lee, Yong-Jae, et al.
Publicado: (2006) -
White blood cell differential count of maturation stages in bone marrow smear using dual-stage convolutional neural networks
por: Choi, Jin Woo, et al.
Publicado: (2017) -
Automated White Blood Cell Counting in Nailfold Capillary Using Deep Learning Segmentation and Video Stabilization
por: Kim, Byeonghwi, et al.
Publicado: (2020) -
A deep learning method and device for bone marrow imaging cell detection
por: Liu, Jie, et al.
Publicado: (2022) -
Role of White Blood Cells in Blood- and Bone Marrow-Based Autologous Therapies
por: King, William, et al.
Publicado: (2018)