Evidence map›Paper›PMID 41788983›Full record

ArticleFrontiers in oncology2026

Correction: A meta-learning-based robust federated learning for diagnosing lung adenocarcinoma and tuberculosis granulomas.

Yuyao Chen, Lei Liu, Bao Feng, Yehang Chen, Jun Xu, Huan Lin, Kunwei Li, Xiaodong Chen, Yuting Ke, Haoyang Zhou and 5 more

Abstract readPublished Erratum
In one paragraph

Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Yuyao Chen *Department of Medical Imaging, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China.
Lei Liu *Laboratory of Artificial Intelligence of Biomedicine, Guilin University of Aerospace Technology, Guilin, China.
Bao FengLaboratory of Artificial Intelligence of Biomedicine, Guilin University of Aerospace Technology, Guilin, China.
Yehang ChenLaboratory of Artificial Intelligence of Biomedicine, Guilin University of Aerospace Technology, Guilin, China.
Jun XuLaboratory of Artificial Intelligence of Biomedicine, Guilin University of Aerospace Technology, Guilin, China.
Huan LinDepartment of Radiology, Guangdong Provincial People's Hospital, Guangzhou, China.
Kunwei LiDepartment of Radiology, Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Xiaodong ChenDepartment of Radiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Yuting KeDepartment of Radiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Haoyang ZhouLaboratory of Artificial Intelligence of Biomedicine, Guilin University of Aerospace Technology, Guilin, China.
Qinghui HuLaboratory of Artificial Intelligence of Biomedicine, Guilin University of Aerospace Technology, Guilin, China.
Qinggeng JinSchool of Electrical Engineering, Guangxi University, Nanning, China.
Wansheng LongDepartment of Radiology, Jiangmen Central Hospital, Jiangmen, China.
Qiong LiDepartment of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xiangmeng ChenDepartment of Radiology, Jiangmen Central Hospital, Jiangmen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[This corrects the article DOI: 10.3389/fonc.2025.1666937.].

Indexed as

CT imagesfederated learninglung adenocarcinomameta-learningpersonalized federated learning signaturessolitary pulmonary solid nodulesSPSNstuberculosis granuloma

Identifiers

PMID41788983
PMCPMC12958350

What OpenQuestion holds

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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.