Evidence map›Paper›PMID 37274276›Full record

ArticleFrontiers in oncology2023

Corrigendum: Deep learning for the detection of anatomical tissue structures and neoplasms of the skin on scanned histopathological tissue sections.

Katharina Kriegsmann, Frithjof Lobers, Christiane Zgorzelski, Jörg Kriegsmann, Charlotte Janßen, Rolf Rüdinger Meliß, Thomas Muley, Ulrich Sack, Georg Steinbuss, Mark Kriegsmann

Open access · goldAbstract readPublished Erratum
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in oncology, 2023. 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
0.3field-weighted citation impact, top 36% 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, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 1 country.

Katharina KriegsmannDepartment of Hematology, Oncology and Rheumatology, Heidelberg University, Heidelberg, Germany.
Frithjof LobersDepartment of Clinical Immunology, Medical Faculty, University of Leipzig, Leipzig, Germany.
Christiane ZgorzelskiInstitute of Pathology, Heidelberg University, Heidelberg, Germany.
Jörg KriegsmannMVZ Histology, Cytology and Molecular Diagnostics Trier, Trier, Germany.
Charlotte JanßenCenter for Industrial Mathematics (ZeTeM), University of Bremen, Bremen, Germany.
Rolf Rüdinger MelißInstitute for Dermatopathology, Hannover, Germany.
Thomas MuleyTranslational Lung Research Centre (TLRC) Heidelberg, Member of the German Centre for Lung Research (DZL), Heidelberg, Germany.
Ulrich SackDepartment of Clinical Immunology, Medical Faculty, University of Leipzig, Leipzig, Germany.
Georg SteinbussDepartment of Hematology, Oncology and Rheumatology, Heidelberg University, Heidelberg, Germany.
Mark KriegsmannInstitute of Pathology, Heidelberg University, Heidelberg, Germany.
Heidelberg University · DELeipzig University · DEGerman Center for Lung Research · DETrier University of Applied Sciences · DEUniversity of Bremen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[This corrects the article DOI: 10.3389/fonc.2022.1022967.].

Indexed as

artificial intelligencedeep learningdeep learning - artificial neural networkdermatopathologydigital pathologypathology

Identifiers

PMID37274276
PMCPMC10233120
OpenAlexW4377108111

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.