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Identification and localization of intracranial occupying lesions based on deep learning of brain images

Identification and localization of intracranial occupying lesions based on deep learning of brain images

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500101923
Enrollment
Unknown
Registered
2025-05-06
Start date
2025-05-06
Completion date
Unknown
Last updated
2025-05-12

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

Conditions

Brain tumors, encephalitis and cerebral hemorrhage

Interventions

Case series:No

Sponsors

The First Affiliated Hospital of Army Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. All patients underwent imaging examinations such as cranial CT or MRI as well as pathological examinations with a clear pathological diagnosis; 2. aged 18-80 years; 3. the presence of at least 1 evaluable lesion in the cranium; 4. the availability of imaging scanning data, such as cranial CT or MRI, with a layer thickness of <5 mm.

Exclusion criteria

Exclusion criteria: 1. age less than 18 or greater than 80 years; 2. other brain lesions such as aneurysms and sacral vertebral aneurysms; 3. no clinical diagnosis.

Design outcomes

Primary

MeasureTime frame
Precision;recall;PR curve;average precision (AP);F1 score;specificity;accuracy;Kappa coefficient;

Countries

China

Contacts

Public ContactChen Tu'nan

The First Affiliated Hospital of Army Medical University

ctn@tmmu.edu.cn+86 15111986606

Outcome results

None listed

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