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Bladder Cancer Detection Using Convolutional Neural Networks

NCT05193656 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 5000

Last updated 2024-01-30

No results posted yet for this study

Summary

The investigators aim to experiment and implement various deep learning architectures to achieve human-level accuracy in Computer-aided diagnosis (CAD) systems. In particular, the investigators are interested in detecting bladder tumors from CT urography scans and cystoscopies of the bladder in this project.

Conditions

Interventions

DIAGNOSTIC_TEST

Al_bladder

Detection of bladder tumor with help of Artificial intelligence

Sponsors & Collaborators

  • Zealand University Hospital

    lead OTHER

Principal Investigators

  • Nessn Azawi, phd · Zealand University Hospital

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-06-01
Primary Completion
2026-06-01
Completion
2026-06-01

Countries

  • Denmark

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05193656 on ClinicalTrials.gov