Performance comparison of quantitative metrics for analysis of in vivo Cherenkov imaging incident detection during radiotherapy.
Savannah M DeckerDaniel A AlexanderPetr BruzaRongxiao ZhangErli ChenLesley A JarvisDavid J GladstoneBrian W PoguePublished in: The British journal of radiology (2022)
Classifying different algorithms for the detection of various radiotherapy incidents allows for the development of an automatic flagging system, eliminating the burden of manual review of Cherenkov images.
Keyphrases
- deep learning
- early stage
- machine learning
- high resolution
- loop mediated isothermal amplification
- locally advanced
- radiation therapy
- real time pcr
- radiation induced
- label free
- cardiovascular disease
- patient safety
- convolutional neural network
- squamous cell carcinoma
- optical coherence tomography
- type diabetes
- photodynamic therapy