Combining DC-GAN with ResNet for blood cell image classification

L Ma, R Shuai, X Ran, W Liu, C Ye - Medical & biological engineering & …, 2020 - Springer
In medicine, white blood cells (WBCs) play an important role in the human immune system.
The different types of WBC abnormalities are related to different diseases so that the total …

White blood cell classification and counting using convolutional neural network

MJ Macawile, VV Quiñones, A Ballado… - … on control and …, 2018 - ieeexplore.ieee.org
Establishing an accurate count and classification of leukocytes commonly known as WBC
(white blood cells) is crucial in the assessment and detection of illness of an individual …

Detection of acute lymphoblastic leukemia using image segmentation and data mining algorithms

V Acharya, P Kumar - Medical & biological engineering & computing, 2019 - Springer
Blood is composed of white blood cells, red blood cells, and platelets. Segmentation of the
blood smear cells and extraction of features of the cells is essential in the field of medicine …

A self-adaptive approach for white blood cell classification towards point-of-care testing

N Dong, M Zhai, J Chang, C Wu - Applied Soft Computing, 2021 - Elsevier
As important immune cells in the human body, white blood cells play a very significant role
in the auxiliary diagnosis of many major diseases. Clinically, changes in the number and …

Leukemia Detection Using Machine and Deep Learning Through Microscopic Images—A Review

QU Ain, S Akbar, S Gull, M Hussain… - Prognostic Models in …, 2022 - Springer
Leukemia is a blood malignancy that occurs due to neoplastic proliferation of bone marrow
precursor cells resulting in impaired immunity, bleeding tendencies, and ineffective …

Identification of leukemia diseases based on microscopic human blood cells using image processing

R Sigit, MM Bachtiar, MI Fikri - 2018 International Conference …, 2018 - ieeexplore.ieee.org
White blood cell cancer or what is often referred to as leukemia is a very dangerous disease.
Until now the process of recognizing white blood cell cancer or leukemia is still done …

Cells image generation method based on VAE-SGAN

K Liu, R Shuai, L Ma - Procedia Computer Science, 2021 - Elsevier
Although it has entered the era of big data, the image data with important research value in
the field of medical imaging is often scarce due to various reasons such as difficult …

Automated and enhanced leucocyte detection and classification for leukemia detection using multi-class SVM classifier

P More, R Sugandhi - Engineering Proceedings, 2023 - mdpi.com
In this day and age, surrounded by innumerable forms of technology, the use of various
autonomous systems to recognize various ailments has tremendously benefited the medical …

A comparison study between deep learning and conventional machine learning on white blood cells classification

MS Wibawa - 2018 International Conference on Orange …, 2018 - ieeexplore.ieee.org
White blood cells have a major role for human health. Classification of white blood cells can
help psychiatrist to diagnose disease caused by abnormality in white blood cells. Diagnosis …

A microfluidic cytometer for complete blood count with a 3.2-megapixel, 1.1-μm-pitch super-resolution image sensor in 65-nm BSI CMOS

X Liu, X Huang, Y Jiang, H Xu, J Guo… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Based on a 3.2-Megapixel 1.1-μm-pitch super-resolution (SR) CMOS image sensor in a 65-
nm backside-illumination process, a lens-free microfluidic cytometer for complete blood …