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[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 …
pathological changes. Cancerous cells are abnormal areas often growing in any part of …
Automated diagnosis of leukemia: a comprehensive review
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 …
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
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 …
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
Background Blood smear microscopic images are routinely investigated by haematologists
to diagnose most blood diseases. However, the task is quite tedious and time consuming …
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 …
part of the immune system that defends the body against microorganisms. Modifications in …
Classification of white blood cells using capsule networks
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 …
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 …
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
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 …
significantly. Clinically, hospitals rely on cytological examination of peripheral blood and …
Leukocytes image classification using optimized convolutional neural networks
Hematologic diseases and blood disorders can be studied through the microscopic or
chemical examination of blood smear images. Many researchers work on identifying …
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 …
leukocyte differential count is the process of diagnosing diseases by counting the number …