nnU-Net weights for Prostate segmentation used in PI-CAI Challenge - Phase 1
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nnU-Net weights for Prostate segmentation used in PI-CAI Challenge - Phase 1. A baseline nnU-Net was trained to segment the prostate gland, using the 1500 cases training data from PI-CAI dataset. The network took as input 3 modalities (T2w, ADC, high DWIb), and the ground truth was AI-derived prostate masks. See Abstract "Deep learning for detection and diagnosis of prostate cancer from bpMRI and PSA: Guerbet’s contribution to the PI-CAI 2022 Grand Challenge" for further information.
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2023-02-27
