SCAG-Net: Automated Brain Tumor Prediction from MRI Using Cuttlefish-Optimized Attention-Based Graph Networks.

Vijay Govindarajan, Ashit Kumar Dutta, Amr Yousef, Mohd Anjum, Ali Elrashidi, Sana Shahab

Abstract read

In one paragraph

Article in Diagnostics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Vijay GovindarajanDistribution and Supply Technology, Expedia Group, Seattle, WA 98119, USA.

Ashit Kumar DuttaDepartment of Computer Science and Information Systems, College of Applied Sciences, AlMaarefa University, Riyadh 13713, Saudi Arabia.

Amr YousefElectrical Engineering Department, University of Business and Technology, Jeddah 21432, Saudi Arabia.ORCID 0000-0003-0875-6462

Mohd AnjumDepartment of Computer Engineering, Aligarh Muslim University, Aligarh 202002, India.

Ali ElrashidiElectrical Engineering Department, University of Business and Technology, Jeddah 21432, Saudi Arabia.

Sana ShahabDepartment of Business Administration, College of Business Administration, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.

Funding

Almaarefa University MHIRSP2025017Princess Nourah bint Abdulrahman University PNURSP2025R259

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

attention graph neural networksbrain tumorcuttlefishMRIredundant featuressegmentationSwin-UNet

Identifiers

PMID41750714

DOI10.3390/diagnostics16040565

PMCPMC12939732

What OpenQuestion holds

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LicenceCC BY

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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.