Improving deep-learning IMRT plan quality for lymphoma using deliverability-aware training
CONCLUSIONS: Cycle-consistency training improves the end-to-end deliverability of DL-generated IMRT plans for heterogeneous lymphoma, yielding substantially better TPS-recalculated, machine-deliverable plans than conventional dose-only supervision while maintaining sub-second fluence-map…
PubMed - AI Research2 min read