Machine learning approach of automatic identification and counting of blood cells

Machine learning approach of automatic identification and counting of blood cells

A complete blood cell count is an important test in medical diagnosis to evaluate overall health condition. Traditionally blood cells are counted manually using haemocytometer along with other laboratory equipment's and chemical compounds, which is a time-consuming and tedious task. In this wor...

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Bibliographic Details
Main Authors: Mohammad Mahmudul Alam, Mohammad Tariqul Islam
Format: Article
Language:English
Published: Wiley 2019-05-01
Series:Healthcare Technology Letters
Subjects:
learning (artificial intelligence)
patient diagnosis
blood
object detection
image classification
cellular biophysics
medical image processing
neural nets
complete blood cell count
machine learning approach
automatic identification
counting
blood smear images
red blood cells
white blood cells
blood cells detection
Online Access:https://digital-library.theiet.org/content/journals/10.1049/htl.2018.5098

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https://digital-library.theiet.org/content/journals/10.1049/htl.2018.5098

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