Evidence map›Paper›PMID 40871840›Full record

ArticleSensors (Basel, Switzerland)2025

Imaging Through Scattering Tissue Based on NIR Multispectral Image Fusion Technique.

Nisan Atiya, Amir Shemer, Ariel Schwarz, Yevgeny Beiderman, Yossef Danan

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

5 authors.

Nisan AtiyaDepartment of Electrical and Electronics Engineering, Azrieli College of Engineering, Jerusalem 9103501, Israel.
Amir ShemerDepartment of Electrical and Electronics Engineering, Azrieli College of Engineering, Jerusalem 9103501, Israel.ORCID 0000-0002-0413-3973
Ariel SchwarzDepartment of Electrical and Electronics Engineering, Azrieli College of Engineering, Jerusalem 9103501, Israel.
Yevgeny BeidermanFaculty of Electrical and Electronics Engineering, Holon Institute of Technology, Holon 5810201, Israel.
Yossef DananDepartment of Electrical and Electronics Engineering, Azrieli College of Engineering, Jerusalem 9103501, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-invasive diagnostics play a crucial role in medicine, and they ensure both contamination safety and patient comfort. The proposed study integrates hyperspectral imaging with advanced image fusion, enabling non-invasive, diagnostic procedure within tissue. It utilizes near-infrared (NIR) wavelength vision that is suitable for reflections from objects within a dispersive layer, enabling the reconstruction of internal tissue layers images. It can detect objects, including cancerous tumors (presented as phantoms), inside human tissue. This involves processing data from multiple images taken in different NIR bands and merging them through image fusion techniques. Our research demonstrates evident data about objects within the diffusive media, visible only in the reconstructed images. The experimental results demonstrate a significant correlation with the samples employed in the study's experimental design.

Indexed as

Image Processing, Computer-AssistedNeoplasmsHumansPhantoms, ImagingSpectroscopy, Near-Infraredimage fusionmultispectral imagingpyramid decompositionscattering tissue imaging

Identifiers

PMID40871840
PMCPMC12390302

What OpenQuestion 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 OpenQuestion graph.