Segmentation of white blood cell, nucleus and cytoplasm in digital haematology microscope images: A review–challenges, current and future potential techniques

ALD Khamael, J Banks, K Nugyen… - IEEE Reviews in …, 2020 - ieeexplore.ieee.org
Segmentation of white blood cells in digital haematology microscope images represents one
of the major tools in the diagnosis and evaluation of blood disorders. Pathological …

[PDF][PDF] Blood cell microscopic image classification in computer aided diagnosis using machine learning: a review

K AL-DULAIMI, T Makki - Iraqi Journal for Computer Science and …, 2023 - iasj.net
Blood cell detection can be considered as a gold standard key in diagnosing blood disease
and can produce an automatic report to hematologists and doctors. Blood cell detection can …

Deep U_ClusterNet: automatic deep clustering based segmentation and robust cell size determination in white blood cell

PRK Prasad, ES Reddy, KC Sekharaiah - Multimedia Tools and …, 2024 - Springer
White blood cells (WBCs) are cells of the immune system that protect the body from
infectious diseases and invading bacteria and viruses. An accurate assessment of their …

Classification of HEp-2 Staining Pattern Images Using Adapted Multilayer Perceptron Neural Network-Based Intra-Class Variation of Cell Shape

K Al-Dulaimi, J Banks, A Al-Sabaawi, K Nguyen… - Sensors, 2023 - mdpi.com
There exists a growing interest from the clinical practice research communities in the
development of methods to automate HEp-2 stained cells classification procedure from …

MSS-WISN: Multiscale multistaining WBCs instance segmentation network

M Zhao, H Yang, F Shi, X Zhang, Y Zhang, X Sun… - IEEE …, 2022 - ieeexplore.ieee.org
Accurate segmentation and detection (instance segmentation) of white blood cells (WBCs)
from whole slide images remains a challenging task, as the WBCs vary widely in shapes …

Hep-2 specimen cell detection and classification using very deep convolutional neural networks-based cell shape

B Jorgensen, ALD Khamael… - 2021 Digital Image …, 2021 - ieeexplore.ieee.org
The accurate detection and classification of HEp-2 specimen staining plays a key role in
autoimmune disease diagnosis and transplantation assessment. Such detection and …

Evaluation of Blood Cell Segmentation Using Level Set-Based Force in Normal Direction via Edge Detection of Cell Shape

TM Makki, K Al-Dulaimi - 2022 IEEE Asia-Pacific Conference on …, 2022 - ieeexplore.ieee.org
Segmentation of blood cell considers a gold standard key in diagnosing blood disease and
producing automatic reports to haematologists and doctors. Blood cell segmentation is a …

Automated Classification of Cell Level of HEp-2 Microscopic Images Using Deep Convolutional Neural Networks-Based Diameter Distance Features

M Jensen, K Al-Dulaimi, KS Abduljabbar… - Journal of Universal …, 2023 - eprints.qut.edu.au
To identify autoimmune diseases in humans, analysis of HEp-2 staining patterns at cell level
is the gold standard for clinical practice research communities. An automated procedure is a …

White blood cells classification using higher order spectra and l-moments invariant features

KAK Al-Dulaimi - 2021 - eprints.qut.edu.au
This project was a step forward in development of methods to investigate white blood cells
and their types. The thesis investigated segmentation and classification methods for white …