Evidence map›Paper›PMID 36013181›Full record

ArticleJournal of personalized medicine2022

Single Channel Image Enhancement (SCIE) of White Blood Cells Based on Virtual Hexagonal Filter (VHF) Designed over Square Trellis.

Shahid Rasheed, Mudassar Raza, Muhammad Sharif, Seifedine Kadry, Abdullah Alharbi

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2022. 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
0.4field-weighted citation impact, top 41% 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, 4 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 2 institutions in 2 countries.

Shahid RasheedDepartment of Computer Science, COMSATS University Islamabad, Wah Campus, Islamabad 47040, Pakistan.ORCID 0000-0002-2313-8454
Mudassar RazaDepartment of Computer Science, COMSATS University Islamabad, Wah Campus, Islamabad 47040, Pakistan.ORCID 0000-0001-9124-9298
Muhammad SharifDepartment of Computer Science, COMSATS University Islamabad, Wah Campus, Islamabad 47040, Pakistan.
Seifedine KadryDepartment of Applied Data Science, Noroff University College, 4612 Kristiansand, Norway.ORCID 0000-0002-1939-4842
Abdullah AlharbiDepartment of Information Technology, College of Computers and Information Technology, Taif University, Taif 21944, Saudi Arabia.
COMSATS University Islamabad · PKTaif University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

White blood cells (WBCs) are the important constituent of a blood cell. These blood cells are responsible for defending the body against infections. Abnormalities identified in WBC smears lead to the diagnosis of disease types such as leukocytosis, hepatitis, and immune system disorders. Digital image analysis for infection detection at an early stage can help fast and precise diagnosis, as compared to manual inspection. Sometimes, acquired blood cell smear images from an L2-type microscope are of very low quality. The manual handling, haziness, and dark areas of the image become problematic for an efficient and accurate diagnosis. Therefore, WBC image enhancement needs attention for an effective diagnosis of the disease. This paper proposed a novel virtual hexagonal trellis (VHT)-based image filtering method for WBC image enhancement and contrast adjustment. In this method, a filter named the virtual hexagonal filter (VHF), of size 3 × 3, and based on a hexagonal structure, is formulated by using the concept of the interpolation of real and square grid pixels. This filter is convolved with WBC ALL-IBD images for enhancement and contrast adjustment. The proposed filter improves the results both visually and statically. A comparison with existing image enhancement approaches proves the validity of the proposed work.

Indexed as

grayscale imageshexagonal filtersimage enhancementvirtual pixelsWBC

Identifiers

PMID36013181
PMCPMC9410214
OpenAlexW4288077480

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.