Clinical Research Directory

Construction of a Deep Learning-Based Precise Diagnostic Framework for Bladder Tumors Using Ultrasound: A Multicenter, Ambispective Cohort Study

Sponsor: Peking University First Hospital

Summary

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.

Official title: Construction of a Deep Learning-Based Precise Diagnostic Framework for Bladder Tumors Using Ultrasound

Key Details

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Interventions

Locations (1)