Evidence map›Paper›PMID 39272805›Full record

ArticleCancers2024

Bilel Benjdira, Anas M Ali, Anis Koubaa, Adel Ammar, Wadii Boulila

Abstract read
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 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.

Bilel BenjdiraRobotics and Internet-of-Things Laboratory, Prince Sultan University, Riyadh 11586, Saudi Arabia.ORCID 0000-0002-3057-4924
Anas M AliRobotics and Internet-of-Things Laboratory, Prince Sultan University, Riyadh 11586, Saudi Arabia.ORCID 0000-0003-0836-6931
Anis KoubaaRobotics and Internet-of-Things Laboratory, Prince Sultan University, Riyadh 11586, Saudi Arabia.ORCID 0000-0003-3787-7423
Adel AmmarRobotics and Internet-of-Things Laboratory, Prince Sultan University, Riyadh 11586, Saudi Arabia.ORCID 0000-0003-0795-132X
Wadii BoulilaRobotics and Internet-of-Things Laboratory, Prince Sultan University, Riyadh 11586, Saudi Arabia.ORCID 0000-0003-2133-0757

Funding

CSRD VA 1
6 · The paper itself

Abstract

Accurate skin diagnosis through end-user applications is important for early detection and cure of severe skin diseases. However, the low quality of dermoscopic images hampers this mission, especially with the presence of hair on these kinds of images. This paper introduces

Indexed as

automatic skin hair removaldiffusion modelshealthcare image enhancementhealthcare image generationmelanoma detectionself-supervised techniquesskin diagnosis consumer applicationsskin medical images

Identifiers

PMID39272805
PMCPMC11394327

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.