Assessing Deep Learning Techniques for the Recognition of Tropical Disease in Images from Parasitological Exams.

Ammar Akram Abdulrazzaq, Asaad T Al-Douri, Abdulsattar Abdullah Hamad, Mustafa Musa Jaber, Zelalem Meraf

RetractedOpen access · goldAbstract readRetracted Publication

In one paragraph

Article in Bioinorganic chemistry and applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

0.5field-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, 3 citations in OpenAlex.

Retracted: Assessing Deep Learning Techniques for the Recognition of Tropical Disease in Images from Parasitological Exams.Bioinorganic chemistry and applications · 2023
Article

4 · The record

Corrections and comments

Retraction · 2023-08-23Concerns/Issues about Data · Concerns/Issues about Results and/or Conclusions · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Peer Review · Investigation by Journal/Publisher · Investigation by Third Party · Paper Mill · Computer-Aided Content or Computer-Generated Content · Unreliable Results and/or Conclusions · · See also: https://pubpeer.com/publications/ADF1C71D4460BD3AAC771EBABBAA24
Retracted
Retracted: Assessing Deep Learning Techniques for the Recognition of Tropical Disease in Images from Parasitological Exams.2023

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 2 countries.

Ammar Akram AbdulrazzaqDepartment of Medical Laboratory Technologies, Al-Maarif University College, Ramadi, Iraq.

Asaad T Al-DouriDepartment of Dental Industry, College of Medical Technology, Al-Kitab University, Alton Kopru, Iraq.

Abdulsattar Abdullah HamadDepartment of Medical Laboratory Techniques, Dijlah University College, Baghdad 10021, Iraq.ORCID https://orcid.org/0000-0003-0497-5115

Mustafa Musa JaberDepartment of Medical Instruments Engineering Techniques, Al-Farahidi University, Baghdad 10021, Iraq.

Zelalem MerafDepartment of Statistics, Injibara University, Injibara, Ethiopia.ORCID https://orcid.org/0000-0002-8148-9260

Al-Farahidi UniversityDijlah University College · IQJigjiga University · ETUniversity of Al Maarif · IQ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID35586785

DOI10.1155/2022/2682287

PMCPMC9110249

OpenAlexW4229456405

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.