Reliability as a Precondition for Trust—Segmentation Reliability Analysis of Radiomic Features Improves Survival Prediction

Reliability as a Precondition for Trust—Segmentation Reliability Analysis of Radiomic Features Improves Survival Prediction

Machine learning results based on radiomic analysis are often not transferrable. A potential reason for this is the variability of radiomic features due to varying human made segmentations. Therefore, the aim of this study was to provide comprehensive inter-reader reliability analysis of radiomic fe...

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Bibliographic Details
Main Authors: Gustav Müller-Franzes, Sven Nebelung, Justus Schock, Christoph Haarburger, Firas Khader, Federico Pedersoli, Maximilian Schulze-Hagen, Christiane Kuhl, Daniel Truhn
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Diagnostics
Subjects:
radiomic features
overall survival
segmentation variability
inter-rater reliability
neural network
robustness
Online Access:https://www.mdpi.com/2075-4418/12/2/247

Internet

https://www.mdpi.com/2075-4418/12/2/247

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