Developments In Deeptuning: Translational Invariance of Trade-Off Feature Extraction In Real-Time Tunable Dose Prediction Framework
DeepTuning is a deep learning–based dose prediction framework that generates multiple dose distributions with different trade-offs, analogous to multi-criteria optimization. Leveraging historical cases with varying trade-offs, DeepTuning extracts semantic tra...
Poster Program · Therapy Physics