Evidence map›Paper›PMID 39796659›Full record

ArticleCancers2024

Deep Learning for Melanoma Detection: A Deep Learning Approach to Differentiating Malignant Melanoma from Benign Melanocytic Nevi.

Magdalini Kreouzi, Nikolaos Theodorakis, Georgios Feretzakis, Evgenia Paxinou, Aikaterini Sakagianni, Dimitris Kalles, Athanasios Anastasiou, Vassilios S Verykios, Maria Nikolaou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

9 authors.

Magdalini KreouziDepartment of Internal Medicine & 65+ Clinic, Amalia Fleming General Hospital, 14, 25th Martiou Str., 15127 Melissia, Greece.
Nikolaos TheodorakisNT-CardioMetabolics, Clinic for Metabolism and Athletic Performance, 47 Tirteou Str., 17564 Palaio Faliro, Greece.ORCID 0000-0003-0420-7327
Georgios FeretzakisSchool of Science and Technology, Hellenic Open University, 18 Aristotelous Str., 26335 Patras, Greece.ORCID 0000-0002-3597-1187
Evgenia PaxinouSchool of Science and Technology, Hellenic Open University, 18 Aristotelous Str., 26335 Patras, Greece.ORCID 0000-0002-9910-8569
Aikaterini SakagianniIntensive Care Unit, Sismanogelio General Hospital, 37 Sismanogleiou Str., 15126 Marousi, Greece.ORCID 0000-0002-3199-9158
Dimitris KallesSchool of Science and Technology, Hellenic Open University, 18 Aristotelous Str., 26335 Patras, Greece.ORCID 0000-0003-0364-5966
Athanasios AnastasiouBiomedical Engineering Laboratory, National Technical University of Athens, 15773 Athens, Greece.ORCID 0000-0001-6679-3590
Vassilios S VerykiosSchool of Science and Technology, Hellenic Open University, 18 Aristotelous Str., 26335 Patras, Greece.ORCID 0000-0002-9758-0819
Maria Nikolaou65+ Outpatient Clinic, Amalia Fleming General Hospital, 14, 25th Martiou Str., 15127 Melissia, Greece.ORCID 0000-0003-2481-5936

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligenceconvolutional neural networksdeep learning modelsdermoscopic imagesearly cancer detectionmedical imagingmelanoma detectionskin cancer diagnosis

Identifiers

PMID39796659
PMCPMC11718884

What OpenQuestion holds

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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.