Data Augmentation and Transfer Learning to Improve Generalizability of an Automated Prostate Segmentation Model

Transfer learning allowed for the development of a high-performing prostate segmentation model, and data augmentation and fine-tuning approaches improved performance of a prostate segmentation model when applied to datasets from external centers.