[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 …
Systematic review of an automated multiclass detection and classification system for acute Leukaemia in terms of evaluation and benchmarking, open challenges …
This study aims to systematically review prior research on the evaluation and benchmarking
of automated acute leukaemia classification tasks. The review depends on three reliable …
of automated acute leukaemia classification tasks. The review depends on three reliable …
Recognition of peripheral blood cell images using convolutional neural networks
Background and objectives Morphological analysis is the starting point for the diagnostic
approach of more than 80% of hematological diseases. However, the morphological …
approach of more than 80% of hematological diseases. However, the morphological …
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 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 …
Computer aided diagnostic system for detection of leukemia using microscopic images
In present scenario, hematological disorders of leukocyte (WBC) are very frequent in
medical practices. This work proposes a novel technique to differentiate ALL (acute …
medical practices. This work proposes a novel technique to differentiate ALL (acute …
Acute lymphoblastic leukemia segmentation using local pixel information
The severity of acute lymphoblastic leukemia depends on the percentages of blast cells
(abnormal white blood cells) in bone marrow or peripheral blood. The manual microscopic …
(abnormal white blood cells) in bone marrow or peripheral blood. The manual microscopic …
A review of the automated detection and classification of acute leukaemia: Coherent taxonomy, datasets, validation and performance measurements, motivation, open …
Context Acute leukaemia diagnosis is a field requiring automated solutions, tools and
methods and the ability to facilitate early detection and even prediction. Many studies have …
methods and the ability to facilitate early detection and even prediction. Many studies have …
A new acute leukaemia-automated classification system
S Agaian, M Madhukar… - Computer Methods in …, 2018 - Taylor & Francis
Acute leukaemia is a type of cancer that affects the blood and the bone marrow. Detection
and classification of white blood cells is a challenge in image processing, as manual data …
and classification of white blood cells is a challenge in image processing, as manual data …
Cancer diagnosis using artificial intelligence: a review
Artificial intelligence (AI) is the usage of scientific techniques to simulate human intellectual
skills and to tackle complex medical issues involving complicated genetic defects such as …
skills and to tackle complex medical issues involving complicated genetic defects such as …