Automated diagnosis of leukemia: a comprehensive review

A Shah, SS Naqvi, K Naveed, N Salem… - IEEE …, 2021 - ieeexplore.ieee.org
Leukemia is the rapid production of abnormal white blood cells that consequently affects the
blood and damages the bone marrow. The overproduction of abnormal and immature white …

Computer‐Aided Diagnosis of Acute Lymphoblastic Leukaemia

S Shafique, S Tehsin - Computational and mathematical …, 2018 - Wiley Online Library
Leukaemia is a form of blood cancer which affects the white blood cells and damages the
bone marrow. Usually complete blood count (CBC) and bone marrow aspiration are used to …

Automatic detection of white blood cancer from bone marrow microscopic images using convolutional neural networks

D Kumar, N Jain, A Khurana, S Mittal… - IEEE …, 2020 - ieeexplore.ieee.org
Leukocytes, produced in the bone marrow, make up around one percent of all blood cells.
Uncontrolled growth of these white blood cells leads to the birth of blood cancer. Out of the …

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 …

[PDF][PDF] i-Net: a deep CNN model for white blood cancer segmentation and classification

AV Ikechukwu, S Murali - Int. J. Adv. Technol. Eng. Explor, 2022 - researchgate.net
The immune system relies on white blood cells and platelets, which are both produced in the
bone marrow and together account for around one percent of the blood corpuscles. Acute …

[PDF][PDF] A comparative study of white blood cells segmentation using otsu threshold and watershed transformation

N Salem, NM Sobhy, M El Dosoky - Journal of Biomedical …, 2016 - researchgate.net
The aim of white blood cells (WBC) segmentation is to separate leukocytes from other
different components in the blood peripheral image. In this paper, a method to segment …

[PDF][PDF] Automatic blasts counting for acute leukemia based on blood samples

NH Abd Halim, MY Mashor, R Hassan - International Journal of …, 2011 - lumenera.com
Currently, the conventional method of manual counting under a microscope affords a time-
consuming, susceptible to error procedure and put an intolerable amount of stress to …

Detection of blood cancer-leukemia using k-means algorithm

P Ranjitha, S Duth - 2021 5th international conference on …, 2021 - ieeexplore.ieee.org
Blood cancer (Leukemia) is one of the leading causes of death among humans. The pace of
healing depends mainly on early detection and diagnosis of a disease. The main reason …

Hematologic cancer detection using white blood cancerous cells empowered with transfer learning and image processing

MU Nasir, MF Khan, MA Khan, M Zubair… - Journal of …, 2023 - Wiley Online Library
Lymphoma and leukemia are fatal syndromes of cancer that cause other diseases and affect
all types of age groups including male and female, and disastrous and fatal blood cancer …

[PDF][PDF] Counting of WBCs and RBCs from blood images using gray thresholding

PR Patil, GS Sable… - International Journal of …, 2014 - researchgate.net
Fast and cost-effective production of blood cell count reports are of paramount importance in
the healthcare industry. In the market there are various systems for the automatic …