Evidence map›Paper›PMID 37296686›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Shahbaz Sikandar, Rabbia Mahum, Adham E Ragab, Sule Yildirim Yayilgan, Sarang Shaikh

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

Article in Diagnostics (Basel, Switzerland), 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
1.8field-weighted citation impact, top 13% 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, 8 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 3 countries.

Shahbaz SikandarDepartment of Computer Science, University of Engineering and Technology Taxila, Taxila 47050, Pakistan.ORCID 0009-0002-4253-7351
Rabbia MahumDepartment of Computer Science, University of Engineering and Technology Taxila, Taxila 47050, Pakistan.ORCID 0000-0003-1983-8201
Adham E RagabIndustrial Engineering Department, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia.ORCID 0000-0002-7339-6419
Sule Yildirim YayilganDepartment of Information Security and Communication Technology (IIK), Norwegian University of Science and Technology (NTNU), 2815 Gjøvik, Norway.ORCID 0000-0002-1982-6609
Sarang ShaikhDepartment of Information Security and Communication Technology (IIK), Norwegian University of Science and Technology (NTNU), 2815 Gjøvik, Norway.
Norwegian University of Science and Technology · NOUniversity of Engineering and Technology Taxila · PKKing Saud University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Red, blue, white, pink, or black spots with irregular borders and small lesions on the skin are known as skin cancer that is categorized into two types: benign and malignant. Skin cancer can lead to death in advanced stages, however, early detection can increase the chances of survival of skin cancer patients. There exist several approaches developed by researchers to identify skin cancer at an early stage, however, they may fail to detect the tiniest tumours. Therefore, we propose a robust method for the diagnosis of skin cancer, namely

Indexed as

batch normalizationbenignconvolution neural networkdermoscopic imagesmalignantmax poolingskin cancerskin lesionsoftmax

Identifiers

PMID37296686
PMCPMC10253111
OpenAlexW4377987569

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.