Titlebook: Head and Neck Tumor Segmentation; First Challenge, HEC Vincent Andrearczyk,Valentin Oreiller,Adrien Depeu Conference proceedings 2021 Sprin

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Fereshteh Yousefirizi,Arman Rahmimvisions reemerged with the hardships of the war, and the image of the national community became more populist and relied less on the institution of the state. “Local incidents between consumers and retailers [over food rationing] had escalated into a broad confrontation between citizens and the stat

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Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PETnce on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2020. 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 data were collected from five centers for a total of 254 i

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,The Head and Neck Tumor Segmentation Using nnU-Net with Spatial and Channel ‘Squeeze & Excitation’ ly relies on the contouring of tumor volumes on medical images. In this paper, the 3D nnU-Net is first applied to segment H&N tumors in FluoroDeoxyGlucose Positron Emission Tomography (FDG-PET) and Computed Tomography (CT) images. Furthermore we improve upon the 3D nnU-Net by integrating it the spat

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