Evidence map›Paper›PMID 40942684›Full record

ArticleSensors (Basel, Switzerland)2025

Unsupervised Tablet Defect Detection Method Based on Diffusion Model.

Mengfan Zhang, Weifeng Liu, Linqing He, Di Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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
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

4 authors.

Mengfan ZhangSchool of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi'an 710016, China.ORCID 0009-0007-1063-2887
Weifeng LiuSchool of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi'an 710016, China.ORCID 0000-0001-9537-8767
Linqing HeSchool of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi'an 710016, China.ORCID 0009-0004-0458-0361
Di WangSchool of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi'an 710016, China.ORCID 0009-0001-2294-194X

Funding

the Shaanxi Qinchuangyuan "Scientist + Engineer" Team Building 2023KXJ-118
6 · The paper itself

Abstract

Reconstruction-based unsupervised detection methods have demonstrated strong generalization capabilities in the field of tablet anomaly detection, but there are still problems such as poor reconstruction effect and inaccurate positioning of abnormal areas. To address these problems, this paper proposes an unsupervised

Indexed as

anomaly locationdiffusion modelfeature extractiontablet anomaly detectionunsupervised detection method

Identifiers

PMID40942684
PMCPMC12431306

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.