Evidence map›Paper›PMID 36576411›Full record

ArticleJournal of aerosol medicine and pulmonary drug delivery2023

Application of Machine Learning for Segmentation of the Pulmonary Acinus Imaged by Synchrotron X-Ray Tomography.

Branko Arsic, Igor Saveljic, Frank S Henry, Nenad Filipovic, Akira Tsuda

Open access · hybridAbstract read
In one paragraph

Article in Journal of aerosol medicine and pulmonary drug delivery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 74% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 3 countries.

Branko ArsicDepartment for Applied Mechanics, Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia.
Igor SaveljicDepartment for Applied Mechanics, Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia.
Frank S HenryDepartment of Mechanical Engineering, Manhattan College, Riverdale, New York, USA.
Nenad FilipovicDepartment for Applied Mechanics, Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia.
Akira TsudaTsuda Lung Research, Shrewsbury, Massachusetts, USA.ORCID 0000-0003-4542-1573
University of Kragujevac · RSManhattan University · USShrewsbury College · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

SynchrotronsTomography, X-Ray ComputedAdministration, InhalationImage Processing, Computer-AssistedLungMachine Learningalveolusartificial intelligencecomputerimagelungmachine learningsegmentationthreshold methodU-Net

Identifiers

PMID36576411
PMCPMC9942171
OpenAlexW4313236902

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.