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Open access Sep 2026

A hybrid deep learning framework for automated treatment planning in cervical cancer radiotherapy

The clinical feasibility of the proposed HALO framework for cervical cancer radiotherapy in producing high‐quality and deliverable IMRT plans is demonstrated, demonstrating that the proposed automated paradigm can serve as a stand‐alone platform for treatment planning.

Hai-Yan Jiang, Zeng-Tai Yuan, Zi-Hao Liu et al. · 0 citations

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