Article

Generalizable Deep Learning Framework for Radiotherapy Dose Prediction Across Cancer Sites, Prescriptions and Treatment Modalities

2026-04-22

Abstract excerpt

Optimizing radiotherapy dose distributions remain a resource-intensive bottleneck. Existing AI-based dose prediction methods often have limited generalizability because they rely on small, heterogeneous datasets. We present nnDoseNetv2, an auto-configured, end-to-end framework for dose prediction across diverse disease sites (head and neck, prostate, breast, and lung), prescription levels (1.5–84 Gy), and treatmen...

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Literature Corpus work: f2ceb10e-f2c5-50fb-8d11-040d1d04e7d8
DOI: 10.64898/2026.04.17.26350770

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