Evidence map›Paper›PMID 42883492›Full record

ArticleFoods (Basel, Switzerland)2026

Deep Learning-Based Assessment of European Seabass (

Nermin Deliçay, Yesim Ozogul, Sakhi Mohammad Hamidy, Fethiye Takadaş, Yusuf Kuvvetli

Abstract read
In one paragraph

Article in Foods (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

5 authors.

Nermin DeliçayDepartment of Seafood Processing Technology, Cukurova University, 01330 Adana, Türkiye.
Yesim OzogulDepartment of Seafood Processing Technology, Cukurova University, 01330 Adana, Türkiye.ORCID 0000-0001-7769-9225
Sakhi Mohammad HamidyDepartment of Industrial Engineering, Istanbul Arel University, 34537 Istanbul, Türkiye.
Fethiye TakadaşDepartment of Chemical Technology, Vocational School, University of Alanya, 07400 Antalya, Türkiye.ORCID 0009-0007-9450-0135
Yusuf KuvvetliDepartment of Industrial Engineering, Cukurova University, 01330 Adana, Türkiye.ORCID 0000-0002-9817-1371

Funding

Cukurova University FBA-2024-16557.
6 · The paper itself

Abstract

Artificial intelligence and image-based deep learning offer promising non-destructive approaches for rapid fish quality assessment. This study evaluated the potential of deep learning models to classify freshness-related sensory attributes and predict color parameters of European seabass (

Indexed as

deep learningEuropean seabassfreshness assessmentnon-destructive quality assessment

Identifiers

PMID42883492
PMCPMC13663947

What OpenQuestion holds

Textmetadata
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.