Article

Head and Neck Cancer Primary Tumor Auto Segmentation using Model Ensembling of Deep Learning in PET-CT Images

2021-10-18

Abstract excerpt

Auto-segmentation of primary tumors in oropharyngeal cancer using PET/CT images is an unmet need that has the potential to improve radiation oncology workflows. In this study, we develop a series of deep learning models based on a 3D Residual Unet (ResUnet) architecture that can segment oropharyngeal tumors with high performance as demonstrated through internal and external validation of large-scale datasets (trai...

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Literature Corpus work: 1cbd67b0-b85d-54d8-a3e7-98b233ac7922
DOI: 10.1101/2021.10.14.21264953

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