Identification and red blood cell automated counting from blood smear images using computer-aided system
Red blood cell count plays a vital role in identifying the overall health of the patient.
Hospitals use the hemocytometer to count the blood cells. Conventional method of placing …
Hospitals use the hemocytometer to count the blood cells. Conventional method of placing …
Automatic red blood cell counting based on particle area
R Musa - 2015 - eprints.uthm.edu.my
In medical area, red blood cell (RBC) counting and analysis contributes important
information in pathological diagnosis regarding disease such as anemia and low level of …
information in pathological diagnosis regarding disease such as anemia and low level of …
A novel cascading red blood cell segmentation method
P Jiang, F Wang, X Wang, X Zhang… - Journal of Medical …, 2016 - ingentaconnect.com
The analysis of erythrocyte morphology is an important determinant in the diagnosis of many
diseases. The development of more reliable and automated image analysis techniques for …
diseases. The development of more reliable and automated image analysis techniques for …
Computer-aided detection of white blood cells using geometric features and color
P Saade, R El Jammal, S El Hayek… - 2018 9th Cairo …, 2018 - ieeexplore.ieee.org
White blood cells make up around 1% of our blood, playing a major role in our immune
system, fighting foreign organisms and protecting our internal systems. Five different types of …
system, fighting foreign organisms and protecting our internal systems. Five different types of …
Image segmentation using PCNN and template matching for blood cell counting
SS Adagale, SS Pawar - 2013 IEEE International conference on …, 2013 - ieeexplore.ieee.org
Biomedical image processing has experienced intense growth with interdisciplinary
research field attracting expertise from computer science. Medical image processing assists …
research field attracting expertise from computer science. Medical image processing assists …
Multi-feature-based approach for white blood cells segmentation and classification in peripheral blood and bone marrow images
In this paper, we propose a complete automated framework for white blood cells differential
count in peripheral blood and bone marrow images, in order to reduce the analysis time and …
count in peripheral blood and bone marrow images, in order to reduce the analysis time and …
White blood cell differential counts using convolutional neural networks for low resolution images
Abstract The Complete Blood Count (CBC) is a medical diagnostic test concerned with
identifying and counting basic blood cells such as red blood cells (RBC), white blood cells …
identifying and counting basic blood cells such as red blood cells (RBC), white blood cells …
Automatic recognition of five types of white blood cells in peripheral blood
SH Rezatofighi, H Soltanian-Zadeh - Computerized Medical Imaging and …, 2011 - Elsevier
This paper proposes image processing algorithms to recognize five types of white blood
cells in peripheral blood automatically. First, a method based on Gram–Schmidt …
cells in peripheral blood automatically. First, a method based on Gram–Schmidt …
Differential White Blood Cell Counting
G Austin - 2021 - digitalcommons.lib.uconn.edu
This thesis was completed with the goal of developing a model for the detection and
differentiation of 8 different classes of white blood cells. Manual differential counting can be …
differentiation of 8 different classes of white blood cells. Manual differential counting can be …