Article
3D transformer-based dose prediction in HDR brachytherapy for cervical cancer
2024-12-09
Abstract excerpt
<title>Abstract</title> <p> Background The clinical process of high-dose-rate brachytherapy (HDRBT) is time-consuming and reliant on user expertise and preference. Deep learning-based dose prediction can act as a quality assurance (QA) tool to identify suboptimal needle placement and enhance treatment planning efficiency in HDR interstitial brachytherapy. This study aims to introduce a 3D transformer-based deep...
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Identifiers and source
- Literature Corpus work
- 65471c49-6c00-5be2-af6b-e5bf14cd0289
- DOI
- 10.21203/rs.3.rs-5069942/v1
