Evidence map›Paper›PMID 37585476›Full record

ArticlePloS one2023

Fusion of medical images using Nabla operator; Objective evaluations and step-by-step statistical comparisons.

Yasin Behrouzi, Abdolali Basiri, Reza Pourgholi, Ali Akbar Kiaei

Abstract read
In one paragraph

Article in PloS one, 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
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. 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

4 authors.

Yasin BehrouziSchool of Mathematics and Computer Science, Damghan University, Damghan, Iran.
Abdolali BasiriSchool of Mathematics and Computer Science, Damghan University, Damghan, Iran.
Reza PourgholiSchool of Mathematics and Computer Science, Damghan University, Damghan, Iran.ORCID 0000-0003-4111-5130
Ali Akbar KiaeiDepartment of Computer Engineering, Bu-ali Sina University, Hamedan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since vectors include direction and magnitude, they have more information than scalars. So, converting the scalar images into the vector field leads achieving much information about the images that have been hidden in the spatial domain. In this paper, the proposed method fuses images after transforming the scalar field of images to a vector one. To transform the field, it uses Nabla operator. After that, the inverse transform is implemented to reconstruct the fused medical image. To show the performance of the proposed method and to evaluate it, different experiments and statistical comparisons were accomplished. Comparing the experimental results with the previous works, shows the effectiveness of the proposed method.

Indexed as

AlgorithmsDiagnostic ImagingImage Processing, Computer-Assisted

Identifiers

PMID37585476
PMCPMC10431637

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.