Evidence map›Paper›PMID 41732363›Full record

ArticleData in brief2026

Thermal infrared italian mediterranean buffalo udder open dataset with expert-verified segmentation masks.

Mattia Fonisto, Maria Teresa Verde, Francesco Bonavolontà, Annalisa Liccardo, Roberta Matera, Matteo Santinello, Flora Amato

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 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.

Mattia FonistoDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, Naples 80125, Italy.
Maria Teresa VerdeDepartment of Veterinary Medicine and Animal Production, University of Naples Federico II, Naples 80137, Italy.
Francesco BonavolontàDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, Naples 80125, Italy.
Annalisa LiccardoDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, Naples 80125, Italy.
Roberta MateraDepartment of Veterinary Medicine and Animal Production, University of Naples Federico II, Naples 80137, Italy.
Matteo SantinelloDepartment of Veterinary Medicine and Animal Production, University of Naples Federico II, Naples 80137, Italy.
Flora AmatoDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, Naples 80125, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This data article describes an open dataset of thermal images of buffalo udders curated for pixel-level segmentation, the first publicly accessible open dataset on the topic. Images were acquired in situ at a commercial farm in southern Italy over >1 year during routine robotic milking, using a fixed, rear-facing long-wave infrared camera (

Indexed as

Buffalo udderComputer visionMastitis screeningSemantic segmentationThermal imagingVeterinary imaging

Identifiers

PMID41732363
PMCPMC12925564

What OpenQuestion holds

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LicenceCC BY-NC
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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.