A network score-based metric to optimize the quality assurance of automatic radiotherapy target segmentations

A network score-based metric to optimize the quality assurance of automatic radiotherapy target segmentations

Background and purpose: Existing methods for quality assurance of the radiotherapy auto-segmentations focus on the correlation between the average model entropy and the Dice Similarity Coefficient (DSC) only. We identified a metric directly derived from the output of the network and correlated it wi...

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Bibliographic Details
Main Authors: Roque Rodríguez Outeiral, Nicole Ferreira Silvério, Patrick J. González, Eva E. Schaake, Tomas Janssen, Uulke A. van der Heide, Rita Simões
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Physics and Imaging in Radiation Oncology
Subjects:
Quality assurance
Confidence estimation
Automatic segmentation
Cervical cancer
Rectal cancer
Online Access:http://www.sciencedirect.com/science/article/pii/S240563162300091X

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http://www.sciencedirect.com/science/article/pii/S240563162300091X

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