TY  - BOOK
AU  - Andrearczyk, Vincent.
AU  - Depeursinge, Adrien.
AU  - Hatt, Mathieu.
AU  - Oreiller, Valentin.
TI  - Head and Neck Tumor Segmentation and Outcome Prediction
SN  - 9783031274206
U1  - 6 
PY  - 2023///
CY  - Cham 
PB  - Springer Nature Switzerland 
KW  - Bioinformatics
KW  - Computational and Systems Biology
KW  - Computer Imaging, Vision, Pattern Recognition and Graphics
KW  - Computer vision
KW  - Image processing
KW  - Image Processing
KW  - Machine learning
KW  - Machine Learning
N2  - This book constitutes the Third 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2022, which was held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, on September 22, 2022. 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.
UR  - https://doi.org/10.1007/978-3-031-27420-6
ER  -