Produktnummer:
1870d4769a904649228d438ba2f045914b
| Themengebiete: | artificial intelligence automatic segmentations classification computerized tomography computer vision deep learning education health informatics image analysis image processing |
|---|---|
| Veröffentlichungsdatum: | 13.03.2022 |
| EAN: | 9783030982522 |
| Sprache: | Englisch |
| Seitenzahl: | 328 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Andrearczyk, Vincent Depeursinge, Adrien Hatt, Mathieu Oreiller, Valentin |
| Verlag: | Springer International Publishing |
| Untertitel: | Second Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings |
Produktinformationen "Head and Neck Tumor Segmentation and Outcome Prediction"
This book constitutes the Second 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2021, which was held in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021. The challenge took place virtually on September 27, 2021, due to the COVID-19 pandemic.The 29 contributions presented, as well as an overview paper, were carefully reviewed and selected form numerous 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 325 delineated PET/CT images was made available for training.
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