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Construction of a Deep Learning-Based Precise Diagnostic Framework for Bladder Tumors Using Ultrasound
This study aims to develop an ultrasound image-based deep learning system to enable automatic segmentation, T-staging, and pathological grading prediction of bladder tumors. It seeks to enhance the objectivity, accuracy, and efficiency of bladder cancer diagnosis, reduce reliance on physician experience, and provide support for precision medicine and resource optimization.
Age
18 - 85 years
Sex
ALL
Healthy Volunteers
No
Department of Urology, Peking University First Hospital
Beijing, China
Start Date
May 27, 2025
Primary Completion Date
May 1, 2026
Completion Date
May 31, 2026
Last Updated
August 17, 2025
400
ESTIMATED participants
observational diagnostic model development
OTHER
Lead Sponsor
Peking University First Hospital
NCT07485530
NCT07061964
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