CCELLA++ generates synthetic 3D bpMRI that outperforms real data for pretraining classifiers in low-volume external domain adaptation for prostate cancer detection.
A Transfer Learning Approach for Automated Segmentation of Prostate Whole Gland and Transition Zone in Diffusion Weighted MRI,
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Mitigating 3D Prostate Biparametric MRI Data Scarcity through Domain Adaptation using Locally-Trained Latent Diffusion Models for Prostate Cancer Detection
CCELLA++ generates synthetic 3D bpMRI that outperforms real data for pretraining classifiers in low-volume external domain adaptation for prostate cancer detection.