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

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 approximately...

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Detalles Bibliográficos
Autores principales: Nakamura, Wataru, Sumitomo, Makoto, Zennami, Kenji, Takenaka, Masashi, Ichino, Manabu, Takahara, Kiyoshi, Teramoto, Atsushi, Shiroki, Ryoichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480482/
https://www.ncbi.nlm.nih.gov/pubmed/37449339
http://dx.doi.org/10.1002/cnr2.1861

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480482/
https://www.ncbi.nlm.nih.gov/pubmed/37449339
http://dx.doi.org/10.1002/cnr2.1861

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