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 …
X‐ray equipped with artificial intelligence: changing the COVID‐19 diagnostic paradigm during the pandemic
Purpose. Due to the excessive use of raw materials in diagnostic tools and equipment
during the COVID‐19 pandemic, there is a dire need for cheaper and more effective …
during the COVID‐19 pandemic, there is a dire need for cheaper and more effective …
LeuFeatx: Deep learning–based feature extractor for the diagnosis of acute leukemia from microscopic images of peripheral blood smear
The abnormal growth of leukocytes causes hematologic malignancies such as leukemia.
The clinical assessment methods for the diagnosis of the disease are labor-intensive and …
The clinical assessment methods for the diagnosis of the disease are labor-intensive and …
A fast and efficient CNN model for B‐ALL diagnosis and its subtypes classification using peripheral blood smear images
The definitive diagnosis of acute lymphoblastic leukemia (ALL), as a highly prevalent
cancer, requires invasive, expensive, and time‐consuming diagnostic tests. ALL diagnosis …
cancer, requires invasive, expensive, and time‐consuming diagnostic tests. ALL diagnosis …
[HTML][HTML] A mobile application based on efficient lightweight CNN model for classification of B-ALL cancer from non-cancerous cells: A design and implementation …
Background B-cell acute lymphoblastic leukemia (B-ALL) is one of the most widespread
cancers, and its definitive diagnosis demands invasive and costly diagnostic tests with side …
cancers, and its definitive diagnosis demands invasive and costly diagnostic tests with side …
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 …
BO-ALLCNN: Bayesian-based optimized CNN for acute lymphoblastic leukemia detection in microscopic blood smear images
Acute lymphoblastic leukemia (ALL) is a deadly cancer characterized by aberrant
accumulation of immature lymphocytes in the blood or bone marrow. Effective treatment of …
accumulation of immature lymphocytes in the blood or bone marrow. Effective treatment of …
Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia
Background and objectives Hypertension (HTN), a major global health concern, is a leading
cause of cardiovascular disease, premature death and disability, worldwide. It is important to …
cause of cardiovascular disease, premature death and disability, worldwide. It is important to …
Energy-efficient trust-aware secured neuro-fuzzy clustering with sparrow search optimization in wireless sensor network
K Dinesh, SVN Santhosh Kumar - International Journal of Information …, 2024 - Springer
Wireless sensor networks (WSNs) are a distributed collection of sensor nodes which are
distributed geographically in the deployed environment to sense the natural phenomena …
distributed geographically in the deployed environment to sense the natural phenomena …
Efficient framework for detection of COVID‐19 omicron and delta variants based on two intelligent phases of CNN models
Introduction. While the COVID‐19 pandemic was waning in most parts of the world, a new
wave of COVID‐19 Omicron and Delta variants in Central Asia and the Middle East caused …
wave of COVID‐19 Omicron and Delta variants in Central Asia and the Middle East caused …