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This study explores the use of high-resolution MRI and deep learning for automatic contouring in prostate radiotherapy, aiming to improve neurovascular sparing and reduce erectile dysfunction post-treatment. The deep learning model demonstrated effective auto-segmentation with an average surface Dice Score of 0.82, indicating high accuracy in delineating critical anatomical structures. This approach could enhance the accessibility and precision of MR-guided radiotherapy, potentially advancing current treatm

Author

tacitmedtek02

Language

EN