Evidence map›Paper›PMID 36119876›Full record

ArticleHeliyon2022

Artificial intelligence to estimate wine volume from single-view images.

Miriam Cobo, Ignacio Heredia, Fernando Aguilar, Lara Lloret Iglesias, Daniel García, Begoña Bartolomé, M Victoria Moreno-Arribas, Silvia Yuste, Patricia Pérez-Matute, Maria-Jose Motilva

Abstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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

10 authors.

Miriam CoboInstitute of Physics of Cantabria (IFCA), CSIC - UC, 39005 Santander (Cantabria), Spain.
Ignacio HerediaInstitute of Physics of Cantabria (IFCA), CSIC - UC, 39005 Santander (Cantabria), Spain.
Fernando AguilarInstitute of Physics of Cantabria (IFCA), CSIC - UC, 39005 Santander (Cantabria), Spain.
Lara Lloret IglesiasInstitute of Physics of Cantabria (IFCA), CSIC - UC, 39005 Santander (Cantabria), Spain.
Daniel GarcíaInstitute of Physics of Cantabria (IFCA), CSIC - UC, 39005 Santander (Cantabria), Spain.
Begoña BartoloméInstitute of Food Science Research (CIAL), CSIC-UAM, 28049 Madrid, Spain.
M Victoria Moreno-ArribasInstitute of Food Science Research (CIAL), CSIC-UAM, 28049 Madrid, Spain.
Silvia YusteInstitute of Grapevine and Wine Sciences (ICVV), CSIC-University of La Rioja-Government of La Rioja, 26007 Logroño (La Rioja), Spain.
Patricia Pérez-MatuteCenter for Biomedical Research of La Rioja (CIBIR), 26006 Logroño (La Rioja), Spain.
Maria-Jose MotilvaInstitute of Grapevine and Wine Sciences (ICVV), CSIC-University of La Rioja-Government of La Rioja, 26007 Logroño (La Rioja), Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we present a method to determine the volume of wine in different types of glass liquid containers from a single-view image. The proposed model predicts red wine volume from a photograph of the glass containing the wine. Experimental results demonstrated satisfactory performance of our image-based wine measurement system, with a Mean Absolute Error lower than

Indexed as

Deep learning modelQuantitative red wine volume estimationSingle-view image

Identifiers

PMID36119876
PMCPMC9475323

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.