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| Reihe | Lecture Notes in Computer Science |
|---|---|
| Themen | Informatik und Informationstechnologie Informatik Bildverarbeitung |
| ISBN | 9783030671938 |
| Sprache | Englisch |
| Erscheinungsdatum | 13.01.2021 |
| Größe | 23.5 x 15.5 cm |
| Verlag | Springer International Publishing |
| Herausgegeben von | Vincent Andrearczyk, Valentin Oreiller, Adrien Depeursinge |
| Lieferzeit | Lieferung in 7-14 Werktagen |
| Herstellerangaben | Anzeigen Springer Nature Customer Service Center GmbH Europaplatz 3 | DE-69115 Heidelberg ProductSafety@springernature.com |
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.
| Reihe | Lecture Notes in Computer Science |
|---|---|
| Themen | Informatik und Informationstechnologie Informatik Bildverarbeitung |
| ISBN | 9783030671938 |
| Sprache | Englisch |
| Erscheinungsdatum | 13.01.2021 |
| Größe | 23.5 x 15.5 cm |
| Verlag | Springer International Publishing |
| Herausgegeben von | Vincent Andrearczyk, Valentin Oreiller, Adrien Depeursinge |
| Lieferzeit | Lieferung in 7-14 Werktagen |
| Herstellerangaben | Anzeigen Springer Nature Customer Service Center GmbH Europaplatz 3 | DE-69115 Heidelberg ProductSafety@springernature.com |
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