Back to search

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...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
65471c49-6c00-5be2-af6b-e5bf14cd0289
DOI
10.21203/rs.3.rs-5069942/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
3D transformer-based dose prediction in HDR brachytherapy for cervical cancerDOI 10.21203/rs.3.rs-5069942/v1
Select a neighboring publication to make it the new centre.