Editorial: Machine learning in radiation oncology
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-09-01
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| Series: | Frontiers in Oncology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2022.1032858/full |
| _version_ | 1811238490600374272 |
|---|---|
| author | Wei Zhao Wei Zhao Ye Zhang Jia Wu Xiaomeng Li Yuming Jiang |
| author_facet | Wei Zhao Wei Zhao Ye Zhang Jia Wu Xiaomeng Li Yuming Jiang |
| author_sort | Wei Zhao |
| collection | DOAJ |
| first_indexed | 2024-04-12T12:43:31Z |
| format | Article |
| id | doaj.art-13c7b7d310654732ae86c0231b04f4c5 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-04-12T12:43:31Z |
| publishDate | 2022-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-13c7b7d310654732ae86c0231b04f4c52022-12-22T03:32:42ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2022-09-011210.3389/fonc.2022.10328581032858Editorial: Machine learning in radiation oncologyWei Zhao0Wei Zhao1Ye Zhang2Jia Wu3Xiaomeng Li4Yuming Jiang5Department of Physics, Beihang University, Beijing, ChinaBeihang Hangzhou Innovation Institute, Yuhang Xixi Octagon City, Hangzhou, ChinaCenter for Proton Therapy, Paul Scherrer Institute (PSI), Villigen, SwitzerlandDepartment of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX, United StatesDepartment of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong SAR, ChinaDepartment of Radiation Oncology, Stanford University, Stanford, CA, United Stateshttps://www.frontiersin.org/articles/10.3389/fonc.2022.1032858/fullmachine learningdeep learningradiation oncologyradiomicsradiotherapyimage segmentation |
| spellingShingle | Wei Zhao Wei Zhao Ye Zhang Jia Wu Xiaomeng Li Yuming Jiang Editorial: Machine learning in radiation oncology Frontiers in Oncology machine learning deep learning radiation oncology radiomics radiotherapy image segmentation |
| title | Editorial: Machine learning in radiation oncology |
| title_full | Editorial: Machine learning in radiation oncology |
| title_fullStr | Editorial: Machine learning in radiation oncology |
| title_full_unstemmed | Editorial: Machine learning in radiation oncology |
| title_short | Editorial: Machine learning in radiation oncology |
| title_sort | editorial machine learning in radiation oncology |
| topic | machine learning deep learning radiation oncology radiomics radiotherapy image segmentation |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2022.1032858/full |
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