Evidence map›Paper›PMID 41300924›Full record

ArticleDiagnostics (Basel, Switzerland)2025

Hybrid Faster R-CNN for Tooth Numbering in Periapical Radiographs Based on Fédération Dentaire Internationale System.

Yong-Shao Su, I Elizabeth Cha, Yi-Cheng Mao, Li-Hsin Chang, Zi-Chun Kao, Shun-Yuan Tien, Yuan-Jin Lin, Shih-Lun Chen, Kuo-Chen Li, Patricia Angela R Abu

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2025. 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

10 authors.

Yong-Shao SuDivision of Periodontics, Department of Dentistry, Taoyuan Chang Gung Memorial Hospital, Taoyuan City 33305, Taiwan.
I Elizabeth ChaUndergraduate Program in Intelligent Computing and Big Data, Chung Yuan Christian University, Taoyuan City 32023, Taiwan.ORCID 0009-0002-9620-5790
Yi-Cheng MaoDepartment of Operative Dentistry, Taoyuan Chang Gang Memorial Hospital, Taoyuan City 33305, Taiwan.
Li-Hsin ChangDepartment of Electronic Engineering, Chung Yuan Christian University, Taoyuan City 32023, Taiwan.ORCID 0009-0000-1534-7224
Zi-Chun KaoDepartment of Electronic Engineering, Chung Yuan Christian University, Taoyuan City 32023, Taiwan.ORCID 0009-0004-1321-4902
Shun-Yuan TienDepartment of Electronic Engineering, Chung Yuan Christian University, Taoyuan City 32023, Taiwan.ORCID 0009-0006-2704-9658
Yuan-Jin LinDepartment of Program on Semiconductor Manufacturing Technology, Academy of Innovative Semiconductor and Sustainable Manufacturing, National Cheng Kung University, Tainan City 70101, Taiwan.ORCID 0009-0004-2429-4143
Shih-Lun ChenDepartment of Electronic Engineering, Chung Yuan Christian University, Taoyuan City 32023, Taiwan.ORCID 0000-0002-4079-9350
Kuo-Chen LiDepartment of Information Management, Chung Yuan Christian University, Taoyuan City 32023, Taiwan.ORCID 0000-0002-0110-5491
Patricia Angela R AbuAteneo Laboratory for Intelligent Visual Environments, Department of Information Systems and Computer Science, Ateneo de Manila University, Quezon City 1108, Philippines.ORCID 0000-0002-8848-6644

Funding

National Science and Technology Council Taiwan NSTC-112-2410-H-033-014, NSTC-112-2221-E-033-049-MY3, NSTC-113-2622-E-033-001, NSTC 114-2314-B-182A-051
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

automated dental diagnosticFaster R-CNNFédération Dentaire Internationale Systemperiapical radiographstooth-numbering localization

Identifiers

PMID41300924
PMCPMC12651699

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.