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Application of Multi-layer Semi-supervised Learning in Dental Panoramic Caries Segmentation

Application of Multi-layer Semi-supervised Learning in Dental Panoramic Caries Segmentation

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500099575
Enrollment
Unknown
Registered
2025-03-26
Start date
2022-10-20
Completion date
Unknown
Last updated
2025-03-31

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

Conditions

Caries

Interventions

Training group:None
Test group:None

Sponsors

Zhejiang Provincial People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: The patients diagnosed with dental caries at different stages from June 2021 to March 2022 were retrieved on October 20, 2022. The panoramic X-ray images must meet the following criteria: 1. Only include panoramic X-ray images of permanent teeth with dental caries.; 2.The patients included in the dataset must be aged 18 years or older.

Exclusion criteria

Exclusion criteria: 1. Panoramic image of deciduous teeth;2. Fuzzy image;

Design outcomes

Primary

MeasureTime frame
The Iou, Dice, Sen, and Spe indices for deep learning models.;

Secondary

MeasureTime frame
Relevant information of caries regions area;

Countries

China

Contacts

Public ContactHuicong Zhang

Zhejiang Provincial People's Hospital

cbcb_zhang@163.com+86 158 6712 4185

Outcome results

None listed

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