Recurrence-free Survival Prediction under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers. (arXiv:2209.11268v1 [cs.CV])

For Head and Neck Cancers (HNC) patient management, automatic gross tumor
volume (GTV) segmentation and accurate pre-treatment cancer recurrence
prediction are of great importance to assist physicians in designing
personalized management plans, which have the potential to improve the
treatment outcome and quality of life for HNC patients. In this paper, we
developed an automated primary tumor (GTVp) and lymph nodes (GTVn) segmentation
method based on combined pre-treatment positron emission tomography/computed
tomography (PET/CT) scans of HNC patients. We extracted radiomics …

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