Quantum computing and quantum-inspired techniques for feature subset selection: a review

AK Mandal, B Chakraborty - Knowledge and Information Systems, 2024 - Springer
Feature subset selection is essential for identifying relevant and non-redundant features,
which enhances classification accuracy and simplifies machine learning models. Given the …

White blood cell classification network using MobileNetv2 with multiscale feature extraction module and attention mechanism

Y Zou, L Wu, C Zuo, L Chen, B Zhou… - … Signal Processing and …, 2025 - Elsevier
White blood cells play a crucial role in the human immune system. The accurate
classification of white blood cells can help doctors diagnose various diseases for patients …

ALL classification using neural ensemble and memetic deep feature optimization

M Awais, R Ahmad, N Kausar, AI Alzahrani… - Frontiers in Artificial …, 2024 - frontiersin.org
Acute lymphoblastic leukemia (ALL) is a fatal blood disorder characterized by the excessive
proliferation of immature white blood cells, originating in the bone marrow. An effective …

Morphological diagnosis of hematologic malignancy using feature fusion-based deep convolutional neural network

DP Yadav, D Kumar, AS Jalal, A Kumar, KU Singh… - Scientific Reports, 2023 - nature.com
Leukemia is a cancer of white blood cells characterized by immature lymphocytes. Due to
blood cancer, many people die every year. Hence, the early detection of these blast cells is …

Quantum-Inspired Evolutionary Algorithms for Feature Subset Selection: A Comprehensive Survey

Y Vivek, V Ravi, PR Krishna - arXiv preprint arXiv:2407.17946, 2024 - arxiv.org
The clever hybridization of quantum computing concepts and evolutionary algorithms (EAs)
resulted in a new field called quantum-inspired evolutionary algorithms (QIEAs). Unlike …

[HTML][HTML] An efficient decision support system for leukemia identification utilizing nature-inspired deep feature optimization

M Awais, MN Abdal, T Akram, A Alasiry… - Frontiers in …, 2024 - frontiersin.org
In the field of medicine, decision support systems play a crucial role by harnessing cutting-
edge technology and data analysis to assist doctors in disease diagnosis and treatment …

[PDF][PDF] An Expert System for Leukocyte Classification using Probabilistic Deep Feature Optimization via Distribution Estimation

M Awais, T Akram, A Alasiry… - … Journal of Applied …, 2024 - intapi.sciendo.com
White blood cells (WBCs) are essential for immune and inflammatory responses, and their
precise classification is crucial for diagnosing and managing diseases. Although …

[PDF][PDF] Leukemia classification using a fusion of transfer learning and support vector machine

PG Sreelekshmi, PL Babu, PJ Shermila - International Journal of …, 2023 - kitspress.com
Leukemia is a malignancy that originates in the bone marrows and it is characterised by
aberrant white blood cell growth. Artificial intelligence has flourished in recent years across …

Marine Predators Algorithm with Deep Learning-Based Leukemia Cancer Classification on Medical Images.

S Das, SK Rout, SK Panda… - … in Engineering & …, 2024 - search.ebscohost.com
In blood or bone marrow, leukemia is a form of cancer. A person with leukemia has an
expansion of white blood cells (WBCs). It primarily affects children and rarely affects adults …

SGTformer: improved Shifted Window Transformer network for white blood cell subtype classification

X Deng, L Pan, Z Dang - Journal of Electronic Imaging, 2024 - spiedigitallibrary.org
White blood cells are a core component of the immune system, responsible for protecting the
human body from foreign invaders and infectious diseases. A decrease in the white blood …