[PDF][PDF] Leukemia Detection using Machine Learning Algorithms: Current trends and future directions

AA Maryoosh, S Pashazadeh - Mustansiriyah journal of pure and Applied …, 2024 - iasj.net
Leukemia is a particular kind of cancer that impacts the hematopoietic system, specifically
the blood and bone marrow. The bone marrow of individuals diagnosed with leukemia …

Leukemia detection and classification using computer-aided diagnosis system with falcon optimization algorithm and deep learning

TO Asar, M Ragab - Scientific Reports, 2024 - nature.com
Leukemia is a type of blood tumour that occurs because of abnormal enhancement in WBCs
(white blood cells) in the bone marrow of the human body. Blood-forming tissue cancer …

[HTML][HTML] A Robust EfficientNetV2-S Classifier for Predicting Acute Lymphoblastic Leukemia Based on Cross Validation

AA Abd El-Aziz, MA Mahmood, S Abd El-Ghany - Symmetry, 2024 - mdpi.com
This research addresses the challenges of early detection of Acute Lymphoblastic Leukemia
(ALL), a life-threatening blood cancer particularly prevalent in children. Manual diagnosis of …

[PDF][PDF] Deep Learning and Artificial Intelligence-Driven Advanced Methods for Acute Lymphoblastic Leukemia Identification and Classification: A Systematic Review.

SIU Rahman, N Abbas, S Ali, M Salman… - … in Engineering & …, 2025 - researchgate.net
Automatic detection of Leukemia or blood cancer is one of the most challenging tasks that
need to be addressed in the healthcare system. Analysis of white blood cells (WBCs) in the …

Phenoty** and predicting wheat spike characteristics using image analysis and machine learning

M Hammers, ZJ Winn, A Ben‐Hur… - The Plant Phenome …, 2023 - Wiley Online Library
Improvements in trait phenoty** are needed to increase the quantity and quality of data
available for genetic improvement of crops. In this study, we used moderate throughput …

Knowledge distillation model for Acute Lymphoblastic Leukemia Detection: Exploring the impact of nesterov-accelerated adaptive moment estimation optimizer

E Hassan, A Saber, S Elbedwehy - Biomedical Signal Processing and …, 2024 - Elsevier
Acute lymphoblastic leukemia (ALL) is a malignancy that primarily affects the bone marrow
and bloodstream, characterized by the rapid proliferation of immature lymphoblasts. In the …

Improving Endoscopic Image Analysis: Attention Mechanism Integration in Grid Search Fine-tuned Transfer Learning Model for Multi-class Gastrointestinal Disease …

MA Elmagzoub, S Kaur, S Gupta, A Rajab… - IEEE …, 2024 - ieeexplore.ieee.org
Due to a continuous change in people's lifestyle and dietary habits, gastrointestinal diseases
are on the increase, with dietary changes being a major contributor to a variety of bowel …

VisTA: vision transformer-attention enhanced CNN ensemble for optimized classification of acute lymphoblastic leukemia benign and progressive malignant stages

HK Nunna, A Altable, P Gundala… - International Journal of …, 2024 - Springer
Acute lymphoblastic leukemia (ALL), a rare blood disorder marked by excessive immature
lymphocyte proliferation in the bone marrow, primarily affects children but poses a more …

Neutrosophic Logic Empowered Machine Learning Algorithm with Salp Swarm Optimization for Biomedical Image Analysis.

AA Alanazi, AOI Abaker… - International …, 2024 - search.ebscohost.com
Leukemia recognition and classification contain the identification of dissimilar kinds of
leukemia, a group of blood cancers that affects the bone marrow and blood. A classical …

Detecting Acute Lymphocytic Leukemia in Individual Blood Cell Smear Images

R Baluabid, H Alnasri, R Alowaybidi, R Hafiz… - … , Technology & Applied …, 2025 - etasr.com
Abstract Acute Lymphocytic Leukemia (ALL) is a form of blood cancer that mainly affects
lymphocytes and white blood cells. The severity of this cancer varies and progresses …