Deep Learning-Based Uroflowmetry Curve Analysis Improves the Noninvasive Diagnosis of Lower Urinary Tract Symptoms
Purpose: This study aimed to evaluate the performance of an artificial intelligence (AI)-based analysis of uroflowmetry (UFM) curve images, enhanced with customized preprocessing techniques, to improve diagnostic accuracy for bladder outlet obstruction (BOO) and detrusor underactivity (DUA). Methods...
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| Published in: | International neurourology journal pp. 73 - 82 |
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| Main Authors: | , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
대한배뇨장애요실금학회
01.11.2025
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| Subjects: | |
| ISSN: | 2093-4777, 2093-6931 |
| Online Access: | Get full text |
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