| 书目名称 | Head and Neck Tumor Segmentation |
| 副标题 | First Challenge, HEC |
| 编辑 | Vincent Andrearczyk,Valentin Oreiller,Adrien Depeu |
| 视频video | |
| 丛书名称 | Lecture Notes in Computer Science |
| 图书封面 |  |
| 描述 | 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.. |
| 出版日期 | Conference proceedings 2021 |
| 关键词 | artificial intelligence; automatic segmentations; bioinformatics; computer vision; computerized tomograp |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-67194-5 |
| isbn_softcover | 978-3-030-67193-8 |
| isbn_ebook | 978-3-030-67194-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer Nature Switzerland AG 2021 |
发表于 2025-3-21 19:42:20
