A

Yange Sun, Mengdi Wang, Chenglong Xu, Huaping Guo, Li Zhang, Hongzhou Yue, Yan Feng

Abstract read

In one paragraph

Article in Journal of imaging, 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

7 authors.

Yange SunSchool of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China.ORCID 0000-0003-3305-4622

Mengdi WangSchool of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China.

Chenglong XuSchool of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China.

Huaping GuoSchool of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China.

Li ZhangSchool of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China.ORCID 0000-0003-3062-399X

Hongzhou YueSchool of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China.ORCID 0000-0002-2836-0927

Yan FengSchool of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China.

Funding

Graduate Education Reform Project of Henan Province 2025SJGLX263YHenan Joint Fund for Science and Technology Research 20240012Henan Provincial Science and Technology Program 241111212200Henan Provincial Science and Technology Program 252102220046Key Scientific Research Projects of Higher Education Institutions in Henan Province 26A520036Key Scientific Research Projects of Higher Education Institutions in Henan Province 26A520037Open Fund of Henan Key Laboratory of Education Big Data Analysis and Application 2025JYDSJ01Open Fund of Henan Key Laboratory of Education Big Data Analysis and Application 2025JYDSJ04

6 · The paper itself

Abstract

Accurate identification of surface defects on steel strips is critical for manufacturing quality assurance and operational reliability. Although deep learning has greatly advanced defect detection, precise recognition remains challenging due to significant background texture interference, loss of spatial details, and semantic imbalance across multiscale features. To address these challenges, we propose A

Indexed as

dual-path adaptive aggregationsemantic refinement bottleneckspatial-semantic compensationstrip steel surface defect detection

Identifiers

PMID42506158

DOI10.3390/jimaging12070312

PMCPMC13412141

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.