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The development of a computer-aided diagnosis system based on artificial intelligence for gray-scale/elastography mode ultrasound image

The development of a computer-aided diagnosis system based on artificial intelligence for gray-scale/elastography mode ultrasound image

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR-DPD-16009424
Enrollment
Unknown
Registered
2016-10-15
Start date
2017-01-01
Completion date
Unknown
Last updated
2017-04-18

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

Conditions

thyroid cancer

Interventions

Gold Standard:
Index test:

Sponsors

Shanghai Tenth People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. The diameter of TNs is =5 mm; 2. The subjects were informed consent.

Exclusion criteria

Exclusion criteria: 1. Patients with no diagnosict gold standard: histology or cytology(followed-up more than 6 monthes); 2. Elastography images were incomplete.

Design outcomes

Primary

MeasureTime frame
accuracy rate;—

Countries

China

Contacts

Public ContactHui-Xiong Xu

Shanghai Tenth People's Hospital

xuhuixiong@126.com+86 18917683519

Outcome results

None listed

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