A Hybrid Model of Feature Extraction and Dimensionality Reduction Using ViT, PCA, and Random Forest for Multi-Classification of Brain Cancer.

Hisham Allahem, Sameh Abd El-Ghany, A A Abd El-Aziz, Bader Aldughayfiq, Menwa Alshammeri, Malak Alamri

Abstract read

In one paragraph

Article in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it

0cells of the map it votes in

3citing 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

3 citing papers in PubMed.

High-accuracy brain tumor detection method based on deep learning.Scientific reports · 2026
Article
Mm-VitnNet: a gated image-text interaction network for soybean salt tolerance recognition using chlorophyll fluorescence phenotypes.Frontiers in plant science · 2026
Article
Risk assessment of thyroid nodules with a multi-instance convolutional neural network.Frontiers in oncology · 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

6 authors.

Hisham AllahemDepartment of Information Systems, College of Computer and Information Sciences, Jouf University, Sakakah 42421, Saudi Arabia.ORCID 0000-0002-0433-1478

Sameh Abd El-GhanyDepartment of Information Systems, College of Computer and Information Sciences, Jouf University, Sakakah 42421, Saudi Arabia.ORCID 0000-0001-6888-5114

A A Abd El-AzizDepartment of Information Systems, College of Computer and Information Sciences, Jouf University, Sakakah 42421, Saudi Arabia.ORCID 0000-0003-4846-101X

Bader AldughayfiqDepartment of Information Systems, College of Computer and Information Sciences, Jouf University, Sakakah 42421, Saudi Arabia.ORCID 0000-0001-9584-0560

Menwa AlshammeriDepartment of Computer Science, College of Computer and Information Sciences, Jouf University, Sakakah 42421, Saudi Arabia.ORCID 0000-0002-4645-3991

Malak AlamriDepartment of Computer Science, College of Computer and Information Sciences, Jouf University, Sakakah 42421, Saudi Arabia.

Funding

jouf university Ctr_DSR-2023-0X-02439

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

brain tumor MRI datasetbrain tumorscancerdeep learningmachine learningMRIPCARFViT

Identifiers

PMID40506964

DOI10.3390/diagnostics15111392

PMCPMC12153998

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

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.