Article

Deep learning from routine histology improves risk stratification for biochemical recurrence in prostate cancer

2026-03-22

Abstract excerpt

<title>Abstract</title> <p>Accurate prediction of biochemical recurrence (BCR) after radical prostatectomy is critical for guiding adjuvant treatment and surveillance decisions in prostate cancer. However, existing clinicopathological risk models reduce complex morphology to relatively coarse descriptors, leaving substantial prognostic information embedded in routine histopathology underexplored. We present a dee...

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Literature Corpus work: 27e93a1e-032e-5cc1-9137-71fa77bcd617
DOI: 10.21203/rs.3.rs-9013424/v1

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