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

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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Bibliographic Details
Main Authors: Chang, H.C (Author), Ding, K. (Author), Hwang, K.-S (Author), Hwang, M. (Author), Jiang, W.-C (Author), Wang, D. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Blood
Bone
bone marrow
Bone marrow
Bone Marrow
Bone marrow images
Cell/B.E
Cell/BE
Cell-be
Cells
Classification
Cytology
Deep learning
Deep Learning
Different class
Diseases
human
Humans
Image classification
image processing
Image Processing, Computer-Assisted
Learning methods
leukemia
Leukemia
leukocyte
Leukocytes
Medical image
Medical imaging
Object detection
Statistical tests
User interfaces
White blood cells
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