Evidence map›Paper›PMID 42510123›Full record

ArticleDiagnostics (Basel, Switzerland)2026

A Multilevel Deep Learning Model for Automated Brain Tumor Segmentation Using Magnetic Resonance Images.

Aneesh S Perumprath, Kulandairaj Martin Sagayam, Syed Immamul Ansarullah, Shafat Khan, Sami Alshmrany, Farhan Amin, Isabel de la Torre Díez, Mirtha Silvana Garat de Marin, Eduardo Silva Alvarado

Abstract read
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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

9 authors.

Aneesh S PerumprathDepartment of ECE, Karunya Institute of Technology and Sciences, Coimbatore 641114, India.
Kulandairaj Martin SagayamDepartment of ECE, Karunya Institute of Technology and Sciences, Coimbatore 641114, India.ORCID 0000-0003-2080-0497
Syed Immamul AnsarullahDepartment of Computer Applications, Govt. Degree College Sumbal, Bandipora 193502, India.ORCID 0000-0002-0894-7595
Shafat KhanDepartment of Computer Science, College of Computer Science, King Khalid University, Abha 61421, Saudi Arabia.ORCID 0000-0003-2835-2641
Sami AlshmranyFaculty of Computer and Information Systems, Islamic University of Madinah, Madinah 42351, Saudi Arabia.
Farhan AminSchool of Computer Science and Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea.ORCID 0000-0002-6385-5511
Isabel de la Torre DíezeHealth and Telemedicine Group, University of Valladolid, 47011 Valladolid, Spain.
Mirtha Silvana Garat de MarinDepartment of Projects, Universidad Internacional Iberoamericana, Arecibo, PR 00613, USA.
Eduardo Silva AlvaradoDepartment of Projects, Universidad Europea del Atlántico, Isabel Torres 21, 39011 Santander, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

braindeep learningdetectionmultilevel architecture-based modified U-Netsegmentation

Identifiers

PMID42510123
PMCPMC13407557

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.