Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer

Abstract For prostate cancer patients, the Gleason score is one of the most important prognostic factors, potentially determining treatment independent of the stage. However, Gleason scoring is based on subjective microscopic examination of tumor morphology and suffers from poor reproducibility. Her... View More