Creator:

Awais, Muhammad ; Akram, Tallha ; Alasiry, Areej ; Marzougui, Mehrez ; Park, Jongwoon ; Chang, Byoungchol

Contributor:

Woźniak, Marcin - ed. ; Kumar, Yogesh - ed. ; Ijaz, Muhammad Fazal - ed.

Title:

An expert system for leukocyte classification using probabilistic deep feature optimization via distribution estimation

Subtitle:

.

Group publication title:

AMCS, volume 34 (2024)

Subject and Keywords:

convolutional neural networks ; optimization ; evolutionary algorithms ; classification ; machine learning

Abstract:

White blood cells (WBCs) are essential for immune and inflammatory responses, and their precise classification is crucial for diagnosing and managing diseases. Although convolutional neural networks (CNNs) are effective for image classification, their high computational demands necessitate feature selection to enhance efficiency and interpretability. This study utilizes transfer learning with EfficientNet-B0 and DenseNet201 to extract features, along with a Bayesian-based feature selection method with a novel optimization mechanism to improve convergence. The reduced feature set is classified using soft voting across multiple classifiers. Tests on benchmark datasets achieved over 99% accuracy with fewer features, surpassing or matching existing methods.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Date:

2024

Resource Type:

artykuł

DOI:

10.61822/amcs-2024-0039

Pages:

579-595

Source:

AMCS, volume 34, number 4 (2024) ; click here to follow the link

Language:

eng

License CC BY 4.0:

click here to follow the link

Rights:

Biblioteka Uniwersytetu Zielonogórskiego