Back to search

Article

Dose prediction of CyberKnife Monte Carlo plan for lung cancer patients based on deep learning: robust learning of variable beam configurations

2024-03-18

Abstract excerpt

<title>Abstract</title> <p>Background Accurate calculation of lung cancer dose using the Monte Carlo (MC) algorithm in CyberKnife is essential for precise planning. We aim to employ deep learning to directly predict the 3D dose distribution calculated by the MC algorithm, enabling rapid and accurate automatic planning. However, most current methods solely focus on conventional intensity-modulated radiation thera...

Topics

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

Identifiers and source

Literature Corpus work
e4f2e004-8a76-5c6c-ab30-c2d55f6139f1
DOI
10.21203/rs.3.rs-4091188/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.
Dose prediction of CyberKnife Monte Carlo plan for lung cancer patients based on deep learning: robust learning of variable beam configurationsDOI 10.21203/rs.3.rs-4091188/v1
Select a neighboring publication to make it the new centre.