Abstract
Urinary Incontinence (UI) is a major side effect of Robot-Assisted Radical Prostatectomy (RARP). The surgical Urethra Length (SUL) emerges as a crucial predictive factor for postoperative-RARP UI. In response, this study introduces a novel approach for the automated estimation of the SUL from surgical video frames. A dedicated RARP dataset
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