Work

A Hybrid CNN-Transformer Framework for Normal Blood Cell Classification: Towards Automated Hematological Analysis

Year: 2025

Type: article

Abstract: Background: Accurate classification of normal blood cells is a critical foundation for automated hematological analysis, including the detection of pathological conditions like leukemia. While convolutional neural networks (... | Find, read and cite all the research you need on Tech Science Press

Source: Computer Modeling in Engineering & Sciences

DOI: 10.32604/cmes.2025.067150

Authors: Osama M. Alshehri, Ahmad Shaf, Muhammad Irfan, Mohammed M. Jalal, Malik A. Altayar, Mohammed H. Abu-Alghayth, Humood Al Shmrany, Tariq Ali, Toufique A. Soomro, Ali G. Alkhathami

Institutions: COMSATS University Islamabad, Charles University, University of Bisha, Najran University, University of Tabuk

Language: English

Topic: Digital Imaging for Blood Diseases

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: diamond

Funders: Najran University, Medical Research Council

OpenAlex ID: W4412549345

FWCI: 2.623

Cites: 33

Cited by: 7

Related to: 10