HBR-Net-18 combines bias correction with residual networks to improve prostate cancer detection accuracy on hybrid multi-dimensional MRI data.
Analysis of k-fold cross-validation over hold-out validation on colossal datasets for quality classification,
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Hybrid Multi-Dimensional MRI Prostate Cancer Detection via Hadamard Network-Based Bias Correction and Residual Networks
HBR-Net-18 combines bias correction with residual networks to improve prostate cancer detection accuracy on hybrid multi-dimensional MRI data.