Evidence map›Paper›PMID 37449117›Full record

ArticleHeliyon2023

Optical coherence tomography image despeckling based on tensor singular value decomposition and fractional edge detection.

Ying Fang, Xia Shao, Bangquan Liu, Hongli Lv

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Tensor Methods in Biomedical Image Analysis.Journal of medical signals and sensors · 2024
    Review
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 at 3 institutions in 1 country.

Ying FangSchool of Information Technology, Shangqiu Normal University, Shangqiu, 476000, China.
Xia ShaoSchool of Information Technology, Shangqiu Normal University, Shangqiu, 476000, China.
Bangquan LiuCollege of Digital Technology and Engineering, Ningbo University of Finance and Economics, Ningbo, 315100, China.
Hongli LvSchool of Information Technology, Shangqiu Normal University, Shangqiu, 476000, China.
Shangqiu Normal University · CNNingbo University · CNZhejiang Wanli University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical coherence tomography (OCT) imaging is a technique that is frequently used to diagnose medical conditions. However, coherent noise, sometimes referred to as speckle noise, can dramatically reduce the quality of OCT images, which has an adverse effect on how OCT images are used. In order to enhance the quality of OCT images, a speckle noise reduction technique is developed, and this method is modelled as a low-rank tensor approximation issue. The grouped 3D tensors are first transformed into the transform domain using tensor singular value decomposition (

Indexed as

Fractional edge detectionOptical coherence tomographySpeckle noiset-SVD

Identifiers

PMID37449117
PMCPMC10336597
OpenAlexW4382358345

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.