Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

A Quantitative and Computational Efficiency Comparison of CNN and Vision Transformer Architectures for Pneumonia Detection from Chest X-rays

Saved in:
Bibliographic Details
Published in:LAUTECH Journal of Computing and Informatics (LAUJCI)
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1868553614061993985
collection WordPress RSS
FRELIP Feed Integration
container_title LAUTECH Journal of Computing and Informatics (LAUJCI)
description
discipline_display Computer Science-Nigeria
discipline_facet Computer Science-Nigeria
format Online Article
RSS Article
genre Journal Article
id rss_article:77795
institution FRELIP
journal_source_facet LAUTECH Journal of Computing and Informatics (LAUJCI)
last_indexed 2026-06-20T21:39:49.249Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle A Quantitative and Computational Efficiency Comparison of CNN and Vision Transformer Architectures for Pneumonia Detection from Chest X-rays
Computer Science-Nigeria
General
Computer Science-Nigeria
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science-Nigeria
General
Computer Science-Nigeria
subject_facet Computer Science-Nigeria
General
Computer Science-Nigeria
title A Quantitative and Computational Efficiency Comparison of CNN and Vision Transformer Architectures for Pneumonia Detection from Chest X-rays
title_alt Una comparación cuantitativa y de eficiencia computacional de arquitecturas CNN y Vision Transformer para detección de neumonía a partir de radiografías de tórax
Une comparaison quantitative et d'efficacité computationnelle des architectures CNN et Vision Transformer pour la détection de pneumonie à partir de radiographies thoraciques
Uma Comparação Quantitativa e de Eficiência Computacional de Arquiteturas CNN e Vision Transformer para Detecção de Pneumonia a partir de Radiografias de Tórax
title_auth A Quantitative and Computational Efficiency Comparison of CNN and Vision Transformer Architectures for Pneumonia Detection from Chest X-rays
title_es_txt Una comparación cuantitativa y de eficiencia computacional de arquitecturas CNN y Vision Transformer para detección de neumonía a partir de radiografías de tórax
title_fr_txt Une comparaison quantitative et d'efficacité computationnelle des architectures CNN et Vision Transformer pour la détection de pneumonie à partir de radiographies thoraciques
title_full A Quantitative and Computational Efficiency Comparison of CNN and Vision Transformer Architectures for Pneumonia Detection from Chest X-rays
title_fullStr A Quantitative and Computational Efficiency Comparison of CNN and Vision Transformer Architectures for Pneumonia Detection from Chest X-rays
title_full_unstemmed A Quantitative and Computational Efficiency Comparison of CNN and Vision Transformer Architectures for Pneumonia Detection from Chest X-rays
title_pt_txt Uma Comparação Quantitativa e de Eficiência Computacional de Arquiteturas CNN e Vision Transformer para Detecção de Pneumonia a partir de Radiografias de Tórax
title_short A Quantitative and Computational Efficiency Comparison of CNN and Vision Transformer Architectures for Pneumonia Detection from Chest X-rays
title_sort a quantitative and computational efficiency comparison of cnn and vision transformer architectures for pneumonia detection from chest x-rays
topic Computer Science-Nigeria
General
Computer Science-Nigeria
url http://laujci.lautech.edu.ng/index.php/laujci/article/view/175