Evidence map›Paper›PMID 39335759›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Optimal Training Positive Sample Size Determination for Deep Learning with a Validation on CBCT Image Caries Recognition.

Yanlin Wang, Gang Li, Xinyue Zhang, Yue Wang, Zhenhao Zhang, Jupeng Li, Junqi Ma, Linghang Wang

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. 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

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

8 authors.

Yanlin WangNational Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Device & Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology, Department of Oral and Maxillofacial Radiology, Peking University School and Hospital of Stomatology, Beijing 100080, China.ORCID 0009-0009-1171-1768
Gang LiNational Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Device & Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology, Department of Oral and Maxillofacial Radiology, Peking University School and Hospital of Stomatology, Beijing 100080, China.ORCID 0000-0003-4642-2033
Xinyue ZhangNational Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Device & Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology, Department of Oral and Maxillofacial Radiology, Peking University School and Hospital of Stomatology, Beijing 100080, China.
Yue WangSchool of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China.
Zhenhao ZhangSchool of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China.
Jupeng LiSchool of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China.
Junqi MaYOFO Medical Technology Co., Ltd., Hefei 230093, China.
Linghang WangYOFO Medical Technology Co., Ltd., Hefei 230093, China.

Funding

Beijing Natural Science Foundation L232029
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

CBCTdeep learningdental cariesoral radiologytraining set

Identifiers

PMID39335759
PMCPMC11431354

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.