Evidence map›Paper›PMID 37761236›Full record

ArticleDiagnostics (Basel, Switzerland)2023

SkinNet-INIO: Multiclass Skin Lesion Localization and Classification Using Fusion-Assisted Deep Neural Networks and Improved Nature-Inspired Optimization Algorithm.

Muneezah Hussain, Muhammad Attique Khan, Robertas Damaševičius, Areej Alasiry, Mehrez Marzougui, Majed Alhaisoni, Anum Masood

Abstract read
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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  15. Automated cutaneous squamous cell carcinoma grading using deep learning with transfer learning.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
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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

7 authors.

Muneezah HussainDepartment of CS, HITEC University, Taxila 47080, Pakistan.
Muhammad Attique KhanDepartment of Computer Science and Mathematics, Lebanese American University, Beirut 13-5053, Lebanon.ORCID 0000-0002-6347-4890
Robertas DamaševičiusCenter of Excellence Forest 4.0, Faculty of Informatics, Kaunas University of Technology, 51368 Kaunas, Lithuania.ORCID 0000-0001-9990-1084
Areej AlasiryCollege of Computer Science, King Khalid University, Abha 61413, Saudi Arabia.
Mehrez MarzouguiCollege of Computer Science, King Khalid University, Abha 61413, Saudi Arabia.ORCID 0000-0003-0445-5371
Majed AlhaisoniComputer Sciences Department, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh 11564, Saudi Arabia.
Anum MasoodDepartment of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), 7034 Trondheim, Norway.ORCID 0000-0001-5411-8969

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

deep learningfeature selectionfeatures fusionhyperparameters selectionimage processingmachine learningskin cancer

Identifiers

PMID37761236
PMCPMC10527569

What OpenQuestion holds

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LicenceCC BY
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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.