Article

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

2023-08-31

Abstract excerpt

<h4>BACKGROUND</h4> Medical image auto-segmentation is poised to revolutionize radiotherapy workflows. The quality of auto-segmentation training data, primarily derived from clinician observers, is of utmost importance. However, the factors influencing the quality of these clinician-derived segmentations have yet to be fully understood or quantified. Therefore, the purpose of this study was to determine the role o...

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Literature Corpus work: 14624da1-d718-5e4c-82ff-62e9c1e75b92
DOI: 10.1101/2023.08.30.23294786

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Determining The Role Of Radiation Oncologist Demographic Factors On Segmentation Quality: Insights From A Crowd-Sourced Challenge Using Bayesian EstimationDOI 10.1101/2023.08.30.23294786Read

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