The results, summarized in Table S2 , reveal that ProZonaNet's improvement over GT is statistically significant ( p = 0.031), whereas differences for other models (e.g., VNet and 3DResU‐Net) did not reach statistical significance.
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A deep learning derived prostate zonal volume-based biomarker from T2-weighted MRI to distinguish between prostate cancer and benign prostatic hyperplasia.
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