Fig. 1From: Comparison of deep learning networks for fully automated head and neck tumor delineation on multi-centric PET/CT imagesIllustration of the workflow for tumor localization and segmentation. (A) Segmentation schemes with regular Unet, 2D Retina Unet, and 3D Retina Unet. (B) Input and output of the Retina Unet. The green boxes denote the predicted bounding box and the confidence score are shown in white. The predicted segmentations are shown in yellowBack to article page