Actively Recruiting
Bladder Cancer Detection Using Convolutional Neural Networks
Led by Zealand University Hospital · Updated on 2024-01-30
5000
Participants Needed
1
Research Sites
260 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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
Official Title
Bladder Cancer Detection Using Convolutional Neural Networks
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients with first time hematuria
- Patients with the control program for previous bladder cancer
You will not qualify if you...
- Patients with control cystoscope for noncancer suspected disease
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Zealand University Hospital
Roskilde, Denmark, 4000
Actively Recruiting
Research Team
N
Nessn Azawi, phd
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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