Combination of deep learning and ensemble machine learning using intraoperative video images strongly predicts recovery of urinary continence after robot‐assisted radical prostatectomy

Combination of deep learning and ensemble machine learning using intraoperative video images strongly predicts recovery of urinary continence after robot‐assisted radical prostatectomy

Abstract Background We recently reported the importance of deep learning (DL) of pelvic magnetic resonance imaging in predicting the degree of urinary incontinence (UI) following robot‐assisted radical prostatectomy (RARP). However, our results were limited because the prediction accuracy was approx...

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Bibliographic Details
Main Authors: Wataru Nakamura, Makoto Sumitomo, Kenji Zennami, Masashi Takenaka, Manabu Ichino, Kiyoshi Takahara, Atsushi Teramoto, Ryoichi Shiroki
Format: Article
Language:English
Published: Wiley 2023-09-01
Series:Cancer Reports
Subjects:
deep learning
ensemble machine learning
robot‐assisted radical prostatectomy
urinary continence
video images
Online Access:https://doi.org/10.1002/cnr2.1861

Internet

https://doi.org/10.1002/cnr2.1861

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