Evidence map›Paper›PMID 36611395›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Adaptive IoU Thresholding for Improving Small Object Detection: A Proof-of-Concept Study of Hand Erosions Classification of Patients with Rheumatic Arthritis on X-ray Images.

Karl Ludger Radke, Matthias Kors, Anja Müller-Lutz, Miriam Frenken, Lena Marie Wilms, Xenofon Baraliakos, Hans-Jörg Wittsack, Jörg H W Distler, Daniel B Abrar, Gerald Antoch and 1 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Deep learning in rheumatological image interpretation.Nature reviews. Rheumatology · 2024
    Review
  8. Model Quality in AI-based Bruise Detection: Rethinking IoU and Confidence Thresholds.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024
    Article
  9. Article
  10. 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

11 authors at 3 institutions in 1 country.

Karl Ludger RadkeDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany.ORCID 0000-0003-1095-1283
Matthias KorsDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany.ORCID 0000-0003-0291-9814
Anja Müller-LutzDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany.
Miriam FrenkenDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany.ORCID 0000-0001-5197-6861
Lena Marie WilmsDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany.ORCID 0000-0002-1159-863X
Xenofon BaraliakosRheumazentrum Ruhrgebiet, Ruhr-University Bochum, D-44649 Herne, Germany.
Hans-Jörg WittsackDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany.
Jörg H W DistlerDepartment of Rheumatology & Hiller Research Unit, University Hospital Dusseldorf, D-40225 Dusseldorf, Germany.
Daniel B AbrarDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany.ORCID 0000-0002-8116-4431
Gerald AntochDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany.
Philipp SewerinRheumazentrum Ruhrgebiet, Ruhr-University Bochum, D-44649 Herne, Germany.ORCID 0000-0001-8465-6207
Heinrich Heine University Düsseldorf · DEDüsseldorf University Hospital · DERheumazentrum Ruhrgebiet · DE

Funding

Local Research Committee of the Medical Faculty of Heinrich-Heine-University Düsseldorf, Germany Not available
6 · The paper itself

Abstract

In recent years, much research evaluating the radiographic destruction of finger joints in patients with rheumatoid arthritis (RA) using deep learning models was conducted. Unfortunately, most previous models were not clinically applicable due to the small object regions as well as the close spatial relationship. In recent years, a new network structure called RetinaNets, in combination with the focal loss function, proved reliable for detecting even small objects. Therefore, the study aimed to increase the recognition performance to a clinically valuable level by proposing an innovative approach with adaptive changes in intersection over union (

Indexed as

AIdeep learningimaginginnovative techniquesRetinaNetrheumatic arthritisX-ray

Identifiers

PMID36611395
PMCPMC9818241
OpenAlexW4313409674

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.