Produktnummer:
184705558adeb3477c85d1b9aae460ad30
| Themengebiete: | artificial intelligence automatic segmentations bioinformatics computerized tomography computer vision ct image image analysis image processing image segmentation machine learning |
|---|---|
| Veröffentlichungsdatum: | 13.01.2021 |
| EAN: | 9783030671938 |
| Sprache: | Englisch |
| Seitenzahl: | 109 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Andrearczyk, Vincent Depeursinge, Adrien Oreiller, Valentin |
| Verlag: | Springer International Publishing |
| Untertitel: | First Challenge, HECKTOR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings |
Produktinformationen "Head and Neck Tumor Segmentation"
This book constitutes the First 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2020, which was held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The challenge took place virtually due to the COVID-19 pandemic.The 2 full and 8 short papers presented together with an overview paper in this volume 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 204 delineated PET/CT images was made available for training as well as 53 PET/CT images for testing. Various deep learning methods were developed by the participants with excellent results.
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