Determining The Role Of Radiation Oncologist Demographic Factors On Segmentation Quality: Insights From A Crowd-Sourced Challenge Using Bayesian Estimation.

Kareem A WahidOnur SahinSuprateek KunduDiana LinAnthony AlanisSalik TehamiSerageldin KamelSimon DukeMichael V ShererMathis RasmussenStine KorremanDavid FuentesMichael CisloBenjamin E NelmsJohn P ChristodouleasJames D MurphyAbdallah Sherif Radwan MohamedRenjie HeMohammed A NaserErin F GillespieClifton David Fuller

Published in: medRxiv : the preprint server for health sciences (2023)

Our study highlights substantial uncertainty surrounding conventionally presumed factors influencing segmentation quality. Future studies should investigate additional demographic variables, more patients and imaging modalities, and alternative metrics of segmentation acceptability.

Keyphrases

deep learning
convolutional neural network
end stage renal disease
ejection fraction
newly diagnosed
chronic kidney disease
high resolution
prognostic factors
quality improvement
machine learning
current status
radiation therapy
patient reported outcomes
case control