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A deep‐learning model using automated performance metrics and clinical features to predict urinary continence recovery after robot‐assisted radical prostatectomy

PaperCitations, authors & open-access status

A deep‐learning model using automated performance metrics and clinical features to predict urinary continence recovery after robot‐assisted radical prostatectomy is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 150 citations, 2019 year and green oa status.

150
Citations
2019
Year
green
OA Status

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Andrew J. Hung
Author
Jessica H. Nguyen
Author
Jian Chen
Author
Prostate Cancer Diagnosis and Treatment
Topic
Prostate Cancer Diagnosis and Treatment
Topic
Urinary Bladder and Prostate Research
Topic
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