An update on computational pathology tools for genitourinary pathology practice: A review paper from the Genitourinary Pathology Society (GUPS)

An update on computational pathology tools for genitourinary pathology practice: A review paper from the Genitourinary Pathology Society (GUPS)

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Machine learning has been leveraged for image analysis applications throughout a multitude of subspecialties.This position paper provides chorulon hcg a perspective on the evolutionary trajectory of practical deep learning tools for genitourinary pathology through evaluating the most recent iterations of such algorithmic devices.Deep learning tools for genitourinary pathology demonstrate potential to enhance prognostic and predictive capacity silver lining herbs kidney support for tumor assessment including grading, staging, and subtype identification, yet limitations in data availability, regulation, and standardization have stymied their implementation.