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 …
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 …
Classification of acute lymphoblastic leukemia using deep learning
Acute Leukemia is a life‐threatening disease common both in children and adults that can
lead to death if left untreated. Acute Lymphoblastic Leukemia (ALL) spreads out in children's …
lead to death if left untreated. Acute Lymphoblastic Leukemia (ALL) spreads out in children's …
Multiclass benchmarking framework for automated acute Leukaemia detection and classification based on BWM and group-VIKOR
This paper aims to assist the administration departments of medical organisations in making
the right decision on selecting a suitable multiclass classification model for acute leukaemia …
the right decision on selecting a suitable multiclass classification model for acute leukaemia …
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 …
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 …
bone marrow. Usually complete blood count (CBC) and bone marrow aspiration are used to …
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 …
Automated detection of white blood cells cancer diseases
H Mohamed, R Omar, N Saeed… - … workshop on deep …, 2018 - ieeexplore.ieee.org
Automated diagnosis of white blood cells cancer diseases such as Leukemia and Myeloma
is a challenging biomedical research topic. Our approach presents for the first time a new …
is a challenging biomedical research topic. Our approach presents for the first time a new …
Automatic classification of acute lymphoblastic leukemia cells and lymphocyte subtypes based on a novel convolutional neural network
M MoradiAmin, M Yousefpour… - Microscopy …, 2024 - Wiley Online Library
Acute lymphoblastic leukemia (ALL) is a life‐threatening disease that commonly affects
children and is classified into three subtypes: L1, L2, and L3. Traditionally, ALL is diagnosed …
children and is classified into three subtypes: L1, L2, and L3. Traditionally, ALL is diagnosed …
Detection of white blood cell cancer using image processing
R Agrawal, S Satapathy, G Bagla… - … Conference on Vision …, 2019 - ieeexplore.ieee.org
Detection of White Blood Cell (WBC) cancer diseases like Acute Myeloid Leukemia (AML),
Acute Lymphoblastic Leukemia (ALL), and Myeloma is a complex task in medical field …
Acute Lymphoblastic Leukemia (ALL), and Myeloma is a complex task in medical field …