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 …

[HTML][HTML] Recent computational methods for white blood cell nuclei segmentation: A comparative study

AR Andrade, LHS Vogado, R de MS Veras… - Computer methods and …, 2019 - Elsevier
Background and objective: Leukaemia is a disease found worldwide; it is a type of cancer
that originates in the bone marrow and is characterised by an abnormal proliferation of white …

Comparison of traditional image processing and deep learning approaches for classification of white blood cells in peripheral blood smear images

RB Hegde, K Prasad, H Hebbar, BMK Singh - … and Biomedical Engineering, 2019 - Elsevier
Automated classification and morphological analysis of white blood cells has been
addressed since last four decades, but there is no optimal method which can be used as …

Leucocyte classification for leukaemia detection using image processing techniques

L Putzu, G Caocci, C Di Ruberto - Artificial intelligence in medicine, 2014 - Elsevier
Introduction The counting and classification of blood cells allow for the evaluation and
diagnosis of a vast number of diseases. The analysis of white blood cells (WBCs) allows for …

Automated leukaemia detection using microscopic images

N Patel, A Mishra - Procedia computer science, 2015 - Elsevier
In this paper, automated approach of leukaemia detection is proposed. In a manual method
of Leukaemia detection, experts check the microscopic images. This is lengthy and time …

A customized efficient deep learning model for the diagnosis of acute leukemia cells based on lymphocyte and monocyte images

S Ansari, AH Navin, AB Sangar, JV Gharamaleki… - Electronics, 2023 - mdpi.com
The production of blood cells is affected by leukemia, a type of bone marrow cancer or blood
cancer. Deoxyribonucleic acid (DNA) is related to immature cells, particularly white cells …

Recognition of acute lymphoblastic leukemia cells in microscopic images using k-means clustering and support vector machine classifier

MM Amin, S Kermani, A Talebi… - Journal of Medical …, 2015 - journals.lww.com
Acute lymphoblastic leukemia is the most common form of pediatric cancer which is
categorized into three L1, L2, and L3 and could be detected through screening of blood and …

Automatic segmentation, counting, size determination and classification of white blood cells

S Nazlibilek, D Karacor, T Ercan, MH Sazli, O Kalender… - Measurement, 2014 - Elsevier
The counts, the so-called differential counts, and sizes of different types of white blood cells
provide invaluable information to evaluate a wide range of important hematic pathologies …

Recognition of different types of leukocytes using YOLOv2 and optimized bag-of-features

M Sharif, J Amin, A Siddiqa, HU Khan, MSA Malik… - IEEE …, 2020 - ieeexplore.ieee.org
White blood cells (WBCs) protect human body against different types of infections including
fungal, parasitic, viral, and bacterial. The detection of abnormal regions in WBCs is a difficult …

Convolutional neural networks for recognition of lymphoblast cell images

T Pansombut, S Wikaisuksakul… - Computational …, 2019 - Wiley Online Library
This paper presents the recognition for WHO classification of acute lymphoblastic leukaemia
(ALL) subtypes. The two ALL subtypes considered are T‐lymphoblastic leukaemia (pre‐T) …