… In these studies, a 3D CNN was used for the segmentation of tumor regions in the brain and
… The degree of coincidence of the manual segmentation and auto segmentation with atlas or …

… In this paper, we propose an automatic segmentation of Head and Neck (H&N) tumors and
… (DSC) with CT- and PET-only segmentation respectively, to 60.6% with a bimodal late fusion …

… as the deep learning pipeline for the segmentation experiments. … automatic segmentation.
Furthermore, we also compared the impact of multiple loss functions on the segmentation task. …

… Volumes from the manual and automatic segmentation were similar; only the gross tumor
volume (GTV) was significantly different. Automatic plans achieved lower mean coverage for …

… for automatic segmentation of tumors and … automatic segmentation techniques results in a
good performance. We arrived at our highest test performance ~0.68 for the segmentation task …

… is the automatic segmentation of the Gross Tumor Volume (GTV) of Head and Neck (H&N)
oropharyngeal primary tumors in … using deep learning automatic segmentation algorithms, we …

… and run the Head and NeCK TumOr (HECKTOR) segmentation challenge in which fused
PET and CT imaging were provided as a challenge for autosegmentation in 2020 17 and has …

… neck cancer (HNC) is important. Automated deep learning (DL) segmentation and automated
planning was used to introduce new and rarely segmented masticatory structures to study …

… In this paper, a new automated approach for segmenting HNC tumors is presented. The
effectiveness of this method was evaluated on the HECKTOR challenge data sets. The results …

… images in the planning process to delineate tumor and OARs, by significantly improving the
… automatic segmentation, there have been several studies on the single organ segmentation …