Evidence map›Paper›PMID 36483328›Full record

ArticleIEEE Applied Imagery Pattern Recognition Workshop : [proceedings]. IEEE Applied Imagery Pattern Recognition Workshop2021

Deep Learning-Based Cell Detection and Extraction in Thin Blood Smears for Malaria Diagnosis.

Deniz Kavzak Ufuktepe, Feng Yang, Yasmin M Kassim, Hang Yu, Richard J Maude, Kannappan Palaniappan, Stefan Jaeger

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

Article in IEEE Applied Imagery Pattern Recognition Workshop : [proceedings]. IEEE Applied Imagery Pattern Recognition Workshop, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. 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

7 authors at 3 institutions in 3 countries.

Deniz Kavzak UfuktepeDepartment of Computer Science, University of Missouri-Columbia, MO, USA.
Feng YangNational Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
Yasmin M KassimNational Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
Hang YuNational Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
Richard J MaudeMahidol Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand.
Kannappan PalaniappanDepartment of Computer Science, University of Missouri-Columbia, MO, USA.
Stefan JaegerNational Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
United States National Library of Medicine · USUniversity of Missouri · USHarvard University · US

Funding

Wellcome Trust 106698
6 · The paper itself

Abstract

Malaria is a major health threat caused by Plasmodium parasites that infect the red blood cells. Two predominant types of Plasmodium parasites are

Indexed as

image analysismachine learningMalaria diagnosismicroscopyPlasmodium falciparumPlasmodium vivaxthin blood smear

Identifiers

PMID36483328
PMCPMC7613898
OpenAlexW4285347346

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.