[HTML][HTML] Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges

T Saba - Journal of infection and public health, 2020 - Elsevier
Cancer is a fatal illness often caused by genetic disorder aggregation and a variety of
pathological changes. Cancerous cells are abnormal areas often growing in any part of …

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 …

Automatic white blood cell classification using pre-trained deep learning models: Resnet and inception

M Habibzadeh, M Jannesari, Z Rezaei… - … on machine vision …, 2018 - spiedigitallibrary.org
This works gives an account of evaluation of white blood cell differential counts via computer
aided diagnosis (CAD) system and hematology rules. Leukocytes, also called white blood …

Segmentation of white blood cells and comparison of cell morphology by linear and naïve Bayes classifiers

J Prinyakupt, C Pluempitiwiriyawej - Biomedical engineering online, 2015 - Springer
Background Blood smear microscopic images are routinely investigated by haematologists
to diagnose most blood diseases. However, the task is quite tedious and time consuming …

Classification of microscopic peripheral blood cell images using multibranch lightweight CNN-based model

H Fırat - Neural Computing and Applications, 2024 - Springer
White blood cells (WBC), which are human peripheral blood cells, are the most significant
part of the immune system that defends the body against microorganisms. Modifications in …

Classification of white blood cells using capsule networks

YY Baydilli, Ü Atila - Computerized Medical Imaging and Graphics, 2020 - Elsevier
Background While the number and structural features of white blood cells (WBC) can
provide important information about the health status of human beings, the ratio of sub-types …

Automated screening system for acute myelogenous leukemia detection in blood microscopic images

S Agaian, M Madhukar… - IEEE Systems …, 2014 - ieeexplore.ieee.org
Acute myelogenous leukemia (AML) is a subtype of acute leukemia, which is prevalent
among adults. The average age of a person with AML is 65 years. The need for automation …

Sckansformer: Fine-grained classification of bone marrow cells via kansformer backbone and hierarchical attention mechanisms

Y Chen, Z Zhu, S Zhu, L Qiu, B Zou, F Jia… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
The incidence and mortality rates of malignant tumors, such as acute leukemia, have risen
significantly. Clinically, hospitals rely on cytological examination of peripheral blood and …

Leukocytes image classification using optimized convolutional neural networks

M Hosseini, D Bani-Hani, SS Lam - Expert Systems with Applications, 2022 - Elsevier
Hematologic diseases and blood disorders can be studied through the microscopic or
chemical examination of blood smear images. Many researchers work on identifying …

A computer assisted method for leukocyte nucleus segmentation and recognition in blood smear images

DC Huang, KD Hung, YK Chan - Journal of Systems and Software, 2012 - Elsevier
The number or ratio of leukocytes in the blood is often an indicator of diseases. The
leukocyte differential count is the process of diagnosing diseases by counting the number …