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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Vydané v:	International neurourology journal s. 73 - 82
Hlavní autori:	Jong Hoon Lee, Yungon Lee, Kwang Jin Ko, Myung Jin Chung, Chung Un Lee, Jung Hyun Kim, Deok-Hyun Han
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	대한배뇨장애요실금학회 01.11.2025
Predmet:	비뇨기과학
ISSN:	2093-4777, 2093-6931
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