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https://hdl.handle.net/1822/58905| Título: | Auto-segmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017 |
| Autor(es): | Yang, Jinzhong Veeraraghavan, Harini Armato, Samuel G. Farahani, Keyvan Kirby, Justin S. Kalpathy-Kramer, Jayashree van Elmpt, Wouter Dekker, Andre Han, Xiao Feng, Xue Aljabar, Paul Oliveira, Bruno van der Heyden, Brent Zamdborg, Leonid Lam, Dao Gooding, Mark Sharp, Gregory C. |
| Palavras-chave: | Algorithms Humans Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy, Image-Guided Thorax Tomography, X-Ray Computed automatic segmentation grand challenge lung cancer radiation therapy |
| Data: | Ago-2018 |
| Editora: | Wiley |
| Revista: | Medical Physics |
| Citação: | Yang, J., Veeraraghavan, H., Armato III, S. G., Farahani, K., Kirby, J. S., Kalpathy‐Kramer, J., ... & Aljabar, P. (2018). Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017. Medical physics, 45(10), 4568-4581 |
| Resumo(s): | This report presents the methods and results of the Thoracic Auto-Segmentation Challenge organized at the 2017 Annual Meeting of American Association of Physicists in Medicine. The purpose of the challenge was to provide a benchmark dataset and platform for evaluating performance of autosegmentation methods of organs at risk (OARs) in thoracic CT images. |
| Tipo: | Artigo |
| Descrição: | Accepted manuscript |
| URI: | https://hdl.handle.net/1822/58905 |
| DOI: | 10.1002/mp.13141 |
| ISSN: | 0094-2405 |
| e-ISSN: | 2473-4209 |
| Versão da editora: | https://aapm.onlinelibrary.wiley.com/doi/abs/10.1002/mp.13141 |
| Arbitragem científica: | yes |
| Acesso: | Acesso aberto |
| Aparece nas coleções: |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| yang2018.pdf | 2,08 MB | Adobe PDF | Ver/Abrir |
