Article

A deep learning-driven automated treatment planning framework for patient treated with radiotherapy in cervical cancer

2026-02-11

Abstract excerpt

<title>Abstract</title> <p> <bold>Background and purpose:</bold> The rapid and efficient generation of high-quality, dose-consistency volumetric modulated arc therapy (VMAT) plans remains challenging in radiotherapy. This study proposes a deep learning (DL) end-to-end (E2E) auto-planning framework and validate its practicality and feasibility for clinical implementation. <bold>Materials and methods:</bold> A...

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Literature Corpus work: 6f752916-f926-5741-8694-95f9b96baaed
DOI: 10.21203/rs.3.rs-8749620/v1

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