A Multi-Task EfficientNetV2S Approach with Hierarchical Hybrid Attention for MRI Enhancing Brain Tumor Segmentation and Classification.

Nawal Benzorgat, Kewen Xia, Mustapha Noure Eddine Benzorgat, Malek Nasser Ali Algabri

Abstract read

In one paragraph

Article in Brain sciences, 2025. 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

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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

4 authors.

Nawal BenzorgatSchool of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300401, China.ORCID 0009-0001-9160-7814

Kewen XiaSchool of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300401, China.ORCID 0000-0003-3968-481X

Mustapha Noure Eddine BenzorgatSchool of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300401, China.

Malek Nasser Ali AlgabriFaculty of Computer and Information Technology, Sana'a University, Sana'a 37444, Yemen.ORCID 0000-0001-5245-2584

Funding

Hebei Province Natural Science Foundation No. E2021202179)Hebei special project for key technology and product R&D No. SJMYF2022Y06Key Research and Development Project from Hebei Province No.21351803Dthe National Natural Science Foundation of China No.42075129

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

hierarchical hybrid attentionMRI brain tumormulti-scale feature fusionmulti-task learningsegmentation and classification

Identifiers

PMID41594758

DOI10.3390/brainsci16010037

PMCPMC12838544

What OpenQuestion holds

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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.