RecruitingNCT05193656
Bladder Cancer Detection Using Convolutional Neural Networks
Sponsor
Zealand University Hospital
Enrollment
5,000 participants
Start Date
Jun 1, 2021
Study Type
OBSERVATIONAL
Conditions
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.
Eligibility
Inclusion Criteria2
- Patients with first time hematuria
- Patients with the control program for previous bladder cancer
Exclusion Criteria1
- Patients with control cystoscope for noncancer suspected disease
Interventions
DIAGNOSTIC_TESTAl_bladder
Detection of bladder tumor with help of Artificial intelligence
Locations(1)
View Full Details on ClinicalTrials.gov
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NCT05193656
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