Fig. 2: Comparison of Prostate Zone (PZ/TZ/CZ) Segmentation Results between AI U-Net + + Model and Traditional Manual Segmentation (adapted/redrawn from published work and publicly available data30).
From: Application and prospect of artificial intelligence in diagnostic imaging of prostate cancer
The first column is the prostate image, the second column is the ground truth of the prostate, the third column is the segmentation result of MPU-Net, the fourth and fifth columns are the PZ and TZ segmented by MPU-Net, respectively. The four rows of images represent four different cases. The first two rows show MRI modality, and the last two rows show ADC modality. Both modalities are used in the actual segmentation process. MPU-Net Morphology-Preserving U-Net, PZ Peripheral Zone, TZ Transition Zone, MRI Magnetic Resonance Imaging, ADC Apparent Diffusion Coefficient.
