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Dental Image Segmentation Study

Study on automatic segmentation of intraoral scanning models based on dental anatomical features

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400092727
Enrollment
Unknown
Registered
2024-11-21
Start date
2025-01-01
Completion date
Unknown
Last updated
2024-12-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

malocclusion

Interventions

Trail group:NA

Sponsors

Chongqing University Three Gorges Hospital (Chongqing Three Gorges Central Hospital)
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1.Intraoral scanning models with clear tooth surfaces; 2.Intraoral scanning model contains all visible teeth in the mouth;

Exclusion criteria

Exclusion criteria: 1.Samples with excessive defects; 2.fixed orthodontic appliance more than 3 teeth;

Design outcomes

Primary

MeasureTime frame
Dice Similarity coefficient;—

Secondary

MeasureTime frame
F1 Score;Mean Intersection Over Union, MIoU;—

Countries

China

Contacts

Public ContactJiang Fulin

Chongqing University Three Gorges Hospital (Chongqing Three Gorges Central Hospital)

875668697@qq.com+86 23 58104085

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026