A Robust Tuberculosis Diagnosis Using Chest X-Rays Based on a Hybrid Vision Transformer and Principal Component Analysis.

Sameh Abd El-Ghany, Mohammed Elmogy, Mahmood A Mahmood, A A Abd El-Aziz

Abstract read

In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it

0cells of the map it votes in

4citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

Class-attention pooling and token sparsity based vision transformers for chest X-ray interpretation.Scientific reports · 2026
Article
Ensemble deep learning architectures for detecting pulmonary tuberculosis in chest X-rays.Scientific reports · 2026
Article
SPX-GNN: An Explainable Graph Neural Network for Harnessing Long-Range Dependencies in Tuberculosis Classifications in Chest X-Ray Images.Diagnostics (Basel, Switzerland) · 2025
Article
Building Better Deep Learning Models Through Dataset Fusion: A Case Study in Skin Cancer Classification with Hyperdatasets.Diagnostics (Basel, Switzerland) · 2025
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sameh Abd El-GhanyDepartment of Information Systems, College of Computer and Information Sciences, Jouf University, Aljouf, P.O. Box 2014, Sakaka 72388, Saudi Arabia.ORCID 0000-0001-6888-5114

Mohammed ElmogyInformation Technology Department, Faculty of Computers and Information, Mansoura University, Mansoura P.O. Box 35516, Egypt.ORCID 0000-0002-2504-6051

Mahmood A MahmoodDepartment of Information Systems, College of Computer and Information Sciences, Jouf University, Aljouf, P.O. Box 2014, Sakaka 72388, Saudi Arabia.ORCID 0000-0002-9658-0972

A A Abd El-AzizDepartment of Information Systems, College of Computer and Information Sciences, Jouf University, Aljouf, P.O. Box 2014, Sakaka 72388, Saudi Arabia.ORCID 0000-0003-4846-101X

Funding

This work was funded by the Deanship of Graduate Studies and Scientific Research at Jouf University under grant No. (DGSSR-2024-02-01170). DGSSR-2024-02-01170

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

CADchest X-raysdeep learningmachine learningpredicttuberculosisvision transformer (ViT)

Identifiers

PMID39682642

DOI10.3390/diagnostics14232736

PMCPMC11640000

What OpenQuestion holds

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LicenceCC BY

Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.