Evidence map›Paper›PMID 41143259›Full record

ArticleData in brief2025

MeatScan: An image dataset for machine learning-based classification of fresh and spoiled cow meat.

Rose-Mary Owusuaa Mensah Gyening, Michael Appiah Akoto, Kwabena Owusu-Agyemang, Linda Amoako-Banning, Kate Takyi, Peter Appiahene

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 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

6 authors.

Rose-Mary Owusuaa Mensah GyeningKwame Nkrumah University of Science and Technology, Department of Computer Science, Ghana.
Michael Appiah AkotoKwame Nkrumah University of Science and Technology, Department of Computer Science, Ghana.
Kwabena Owusu-AgyemangKwame Nkrumah University of Science and Technology, Department of Computer Science, Ghana.
Linda Amoako-BanningKwame Nkrumah University of Science and Technology, Department of Computer Science, Ghana.
Kate TakyiKwame Nkrumah University of Science and Technology, Department of Computer Science, Ghana.
Peter AppiaheneUniversity of Energy and Natural Resources, Department of Computer Science and Informatics, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article presents MeatScan

Indexed as

Convolutional neural networksCow meat spoilageDeep learningFood quality assessmentImage classificationMachine learning

Identifiers

PMID41143259
PMCPMC12546412

What OpenQuestion holds

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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 OpenQuestion graph.