Iteratively Refine the Segmentation of Head and Neck Tumor in FDG-PET ...
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Jan 13, 2021 · In this paper, we propose a framework to segment H&N tumor automatically by fusing information of PET and CT.
Oct 4, 2020 · In this paper, we propose a framework to segment H&N tumor automatically by fusing information of PET and CT.
In this paper, we propose a framework to segment H&N tumor automatically by fusing information of PET and CT. In this framework, multiple 3D-Unets are trained ...
The challenge's task is the automatic segmentation of the Gross Tumor Volume (GTV) of Head and Neck (H&N) oropharyngeal primary tumors in FDG-PET/CT images.
In this work, we proposed a 3D diffusion model to accurately perform H&N tumor segmentation from 3D PET and CT volumes. The 3D diffusion model was developed ...
Missing: Iteratively Refine
Oct 4, 2020 · Iteratively Refine the Segmentation of Head and Neck Tumor in FDG-PET and CT Images. Huai Chen, Haibin Chen, Lisheng Wang. Pages 53-58.
The purpose of this work was to develop, validate, and compare a highly computer-aided method for the segmentation of hot lesions in head and neck 18F-FDG ...
The task of the challenge is the automatic segmentation of head and neck primary Gross Tumor Volume in FDG-PET/CT images, focusing on the oropharynx region. The ...
Head and neck tumor segmentation : First Challenge, HECKTOR ...
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This challenge aims to evaluate and compare the current state-of-the-art methods for automatic head and neck tumor segmentation. In the context of this ...
In this work, we proposed a 3D diffusion model to accurately perform H&N tumor segmentation from 3D PET and CT volumes.