Head and Neck Tumor Segmentation and Outcome Prediction
Adrien Depeursinge, Mathieu Hatt, Valentin Oreiller, Vincent Andrearczyk
973 kr
AvAdrien Depeursinge,Mathieu Hatt
840 kr
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The 22 contributions presented, as well as an overview paper, were carefully reviewed and selected from 24 submissions. 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 challenge, a dataset of 883 delineated PET/CT images was made available for training.