A systematic review on acute leukemia detection using deep learning techniques
Acute leukemia is a cancer that starts in the bone marrow and is characterized by an
abnormal growth of white blood cells. It is a disease that affects people all over the world …
abnormal growth of white blood cells. It is a disease that affects people all over the world …
Leukemia segmentation and classification: A comprehensive survey
Blood is made up of leukocytes (WBCs), erythrocytes (RBCs), and thrombocytes. The ratio of
blood cancer diseases is increasing rapidly, among which leukemia is one of the famous …
blood cancer diseases is increasing rapidly, among which leukemia is one of the famous …
A deep learning framework for leukemia cancer detection in microscopic blood samples using squeeze and excitation learning
Leukemia is a fatal category of cancer‐related disease that affects individuals of all ages,
including children and adults, and is a significant cause of death worldwide. Particularly, it is …
including children and adults, and is a significant cause of death worldwide. Particularly, it is …
A lightweight and explainable data-driven scheme for fault detection of aerospace sensors
Compared with traditional model-based fault detection and classification (FDC) methods,
deep neural networks (DNNs) prove to be more accurate for aerospace sensors. An …
deep neural networks (DNNs) prove to be more accurate for aerospace sensors. An …
[PDF][PDF] Leukaemia burden in Africa
EI Obeagu, DM Omar, U Omar - Int. J. Curr. Res. Biol. Med, 2023 - researchgate.net
Leukaemia is cancer of the body's blood-forming tissues, including the bone marrow and the
lymphatic system. Many types of leukemia exist. Some forms of leukemia are more common …
lymphatic system. Many types of leukemia exist. Some forms of leukemia are more common …
A review on leukemia detection and classification using Artificial Intelligence-based techniques
Leukemia is a type of cancer affecting blood-forming tissues, where timely diagnosis is
crucial for early intervention and better treatment outcomes. Traditional detection methods …
crucial for early intervention and better treatment outcomes. Traditional detection methods …
A novel deep learning framework (DLF) for classification of acute lymphoblastic leukemia
S Chand, VP Vishwakarma - Multimedia Tools and Applications, 2022 - Springer
Cancer of blood, more specifically known as Leukemia, is a deadly disease that is
responsible for the abnormal proliferation of immature white blood cells in bone marrow …
responsible for the abnormal proliferation of immature white blood cells in bone marrow …
Utilizing deep feature Fusion for automatic leukemia classification: an Internet of Medical Things-Enabled deep learning framework
Acute lymphoblastic leukemia, commonly referred to as ALL, is a type of cancer that can
affect both the blood and the bone marrow. The process of diagnosis is a difficult one since it …
affect both the blood and the bone marrow. The process of diagnosis is a difficult one since it …
Real-time robotic mirrored behavior of facial expressions and head motions based on lightweight networks
X Liu, Y Chen, J Li, A Cangelosi - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The ability of a humanoid robot to imitate facial expressions with simultaneous head motions
is crucial to natural human–robot interaction. This mirrored behavior from human beings to …
is crucial to natural human–robot interaction. This mirrored behavior from human beings to …
LDSVM: Leukemia cancer classification using machine learning
Leukemia is blood cancer, including bone marrow and lymphatic tissues, typically involving
white blood cells. Leukemia produces an abnormal amount of white blood cells compared to …
white blood cells. Leukemia produces an abnormal amount of white blood cells compared to …